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Search results for: massively parallel sequencing
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1834</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: massively parallel sequencing</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1834</span> Massively Parallel Sequencing Improved Resolution for Paternity Testing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xueying%20Zhao">Xueying Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Ke%20Ma"> Ke Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui%20Li"> Hui Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Cao"> Yu Cao</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Yang"> Fan Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Qingwen%20Xu"> Qingwen Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenbin%20Liu"> Wenbin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Massively parallel sequencing (MPS) technologies allow high-throughput sequencing analyses with a relatively affordable price and have gradually been applied to forensic casework. MPS technology identifies short tandem repeat (STR) loci based on sequence so that repeat motif variation within STRs can be detected, which may help one to infer the origin of the mutation in some cases. Here, we report on one case with one three-step mismatch (D18S51) in family trios based on both capillary electrophoresis (CE) and MPS typing. The alleles of the alleged father (AF) are [AGAA]₁₇AGAG[AGAA]₃ and [AGAA]₁₅. The mother’s alleles are [AGAA]₁₉ and [AGAA]₉AGGA[AGAA]₃. The questioned child’s (QC) alleles are [AGAA]₁₉ and [AGAA]₁₂. Given that the sequence variants in repeat regions of AF and mother are not observed in QC’s alleles, the QC’s allele [AGAA]₁₂ was likely inherited from the AF’s allele [AGAA]₁₅ by loss of three repeat [AGAA]. Besides, two new alleles of D18S51 in this study, [AGAA]₁₇AGAG[AGAA]₃ and [AGAA]₉AGGA[AGAA]₃, have not been reported before. All the results in this study were verified using Sanger-type sequencing. In summary, the MPS typing method can offer valuable information for forensic genetics research and play a promising role in paternity testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=family%20trios%20analysis" title="family trios analysis">family trios analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=forensic%20casework" title=" forensic casework"> forensic casework</a>, <a href="https://publications.waset.org/abstracts/search?q=ion%20torrent%20personal%20genome%20machine%20%28PGM%29" title=" ion torrent personal genome machine (PGM)"> ion torrent personal genome machine (PGM)</a>, <a href="https://publications.waset.org/abstracts/search?q=massively%20parallel%20sequencing%20%28MPS%29" title=" massively parallel sequencing (MPS)"> massively parallel sequencing (MPS)</a> </p> <a href="https://publications.waset.org/abstracts/80960/massively-parallel-sequencing-improved-resolution-for-paternity-testing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1833</span> Applying Massively Parallel Sequencing to Forensic Soil Bacterial Profiling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hui%20Li">Hui Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Xueying%20Zhao"> Xueying Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Ke%20Ma"> Ke Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Cao"> Yu Cao</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Yang"> Fan Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Qingwen%20Xu"> Qingwen Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenbin%20Liu"> Wenbin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil can often link a person or item to a crime scene, which makes it a valuable evidence in forensic casework. Several techniques have been utilized in forensic soil discrimination in previous studies. Because soil contains a vast number of microbiomes, the analyse of soil microbiomes is expected to be a potential way to characterise soil evidence. In this study, we applied massively parallel sequencing (MPS) to soil bacterial profiling on the Ion Torrent Personal Genome Machine (PGM). Soils from different regions were collected repeatedly. V-region 3 and 4 of Bacterial 16S rRNA gene were detected by MPS. Operational taxonomic units (OTU, 97%) were used to analyse soil bacteria. Several bioinformatics methods (PCoA, NMDS, Metastats, LEfse, and Heatmap) were applied in bacterial profiles. Our results demonstrate that MPS can provide a more detailed picture of the soil microbiomes and the composition of soil bacterial components from different region was individualistic. In conclusion, the utility of soil bacterial profiling via MPS of the 16S rRNA gene has potential value in characterising soil evidences and associating them with their place of origin, which can play an important role in forensic science in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bacterial%20profiling" title="bacterial profiling">bacterial profiling</a>, <a href="https://publications.waset.org/abstracts/search?q=forensic" title=" forensic"> forensic</a>, <a href="https://publications.waset.org/abstracts/search?q=massively%20parallel%20sequencing" title=" massively parallel sequencing"> massively parallel sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20evidence" title=" soil evidence"> soil evidence</a> </p> <a href="https://publications.waset.org/abstracts/80561/applying-massively-parallel-sequencing-to-forensic-soil-bacterial-profiling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80561.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">563</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1832</span> Discrete Breeding Swarm for Cost Minimization of Parallel Job Shop Scheduling Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tarek%20Aboueldahab">Tarek Aboueldahab</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanan%20Farag"> Hanan Farag</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Parallel Job Shop Scheduling Problem (JSP) is a multi-objective and multi constrains NP- optimization problem. Traditional Artificial Intelligence techniques have been widely used; however, they could be trapped into the local minimum without reaching the optimum solution, so we propose a hybrid Artificial Intelligence model (AI) with Discrete Breeding Swarm (DBS) added to traditional Artificial Intelligence to avoid this trapping. This model is applied in the cost minimization of the Car Sequencing and Operator Allocation (CSOA) problem. The practical experiment shows that our model outperforms other techniques in cost minimization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20job%20shop%20scheduling%20problem" title="parallel job shop scheduling problem">parallel job shop scheduling problem</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20breeding%20swarm" title=" discrete breeding swarm"> discrete breeding swarm</a>, <a href="https://publications.waset.org/abstracts/search?q=car%20sequencing%20and%20operator%20allocation" title=" car sequencing and operator allocation"> car sequencing and operator allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=cost%20minimization" title=" cost minimization"> cost minimization</a> </p> <a href="https://publications.waset.org/abstracts/132701/discrete-breeding-swarm-for-cost-minimization-of-parallel-job-shop-scheduling-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132701.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">188</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1831</span> Damage Strain Analysis of Parallel Fiber Eutectic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jian%20Zheng">Jian Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinhua%20Ni"> Xinhua Ni</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiequan%20Liu"> Xiequan Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to isotropy of parallel fiber eutectic, the no- damage strain field in parallel fiber eutectic is obtained from the flexibility tensor of parallel fiber eutectic. Considering the damage behavior of parallel fiber eutectic, damage variables are introduced to determine the strain field of parallel fiber eutectic. The damage strains in the matrix, interphase, and fiber of parallel fiber eutectic are quantitatively analyzed. Results show that damage strains are not only associated with the fiber volume fraction of parallel fiber eutectic, but also with the damage degree. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=damage%20strain" title="damage strain">damage strain</a>, <a href="https://publications.waset.org/abstracts/search?q=initial%20strain" title=" initial strain"> initial strain</a>, <a href="https://publications.waset.org/abstracts/search?q=fiber%20volume%20fraction" title=" fiber volume fraction"> fiber volume fraction</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20fiber%20eutectic" title=" parallel fiber eutectic"> parallel fiber eutectic</a> </p> <a href="https://publications.waset.org/abstracts/60032/damage-strain-analysis-of-parallel-fiber-eutectic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">577</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1830</span> A New Distributed Computing Environment Based On Mobile Agents for Massively Parallel Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fat%C3%A9ma%20Zahra%20Benchara">Fatéma Zahra Benchara</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Youssfi"> Mohamed Youssfi</a>, <a href="https://publications.waset.org/abstracts/search?q=Omar%20Bouattane"> Omar Bouattane</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Ouajji"> Hassan Ouajji</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Ouadi%20Bensalah"> Mohamed Ouadi Bensalah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose a new distributed environment for High Performance Computing (HPC) based on mobile agents. It allows us to perform parallel programs execution as distributed one over a flexible grid constituted by a cooperative mobile agent team works. The distributed program to be performed is encapsulated on team leader agent which deploys its team workers as Agent Virtual Processing Unit (AVPU). Each AVPU is asked to perform its assigned tasks and provides the computational results which make the data and team works tasks management difficult for the team leader agent and that influence the performance computing. In this work we focused on the implementation of the Mobile Provider Agent (MPA) in order to manage the distribution of data and instructions and to ensure a load balancing model. It grants also some interesting mechanisms to manage the others computing challenges thanks to the mobile agents several skills. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title="image processing">image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20environment" title=" distributed environment"> distributed environment</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20agents" title=" mobile agents"> mobile agents</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20and%20distributed%20computing" title=" parallel and distributed computing"> parallel and distributed computing</a> </p> <a href="https://publications.waset.org/abstracts/24158/a-new-distributed-computing-environment-based-on-mobile-agents-for-massively-parallel-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24158.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">410</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1829</span> Parallel PRBS Generation and Parallel BER Tester for 8-Gbps On-chip Interconnection Testing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Bin">Zhao Bin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Dan%20Lei"> Yan Dan Lei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a multi-pattern parallel PRBS generator and a dedicated parallel BER tester is proposed for the 8-Gbps On-chip interconnection testing. A unique full-parallel PRBS checker is also proposed. The proposed design, together with the custom-designed high-speed parallel-to-serial and the serial-to-parallel circuit, will be used to test different on-chip interconnection transceivers. The design is implemented in TSMC 28nm CMOS technology with working voltage at 1.0 V. The serial to parallel ratio is 8:1 so the parallel PRBS generation and BER Tester can be run at lower speed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PRBS" title="PRBS">PRBS</a>, <a href="https://publications.waset.org/abstracts/search?q=BER" title=" BER"> BER</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20speed" title=" high speed"> high speed</a>, <a href="https://publications.waset.org/abstracts/search?q=generator" title=" generator"> generator</a> </p> <a href="https://publications.waset.org/abstracts/35064/parallel-prbs-generation-and-parallel-ber-tester-for-8-gbps-on-chip-interconnection-testing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35064.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">760</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1828</span> BingleSeq: A User-Friendly R Package for Single-Cell RNA-Seq Data Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Quan%20Gu">Quan Gu</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20%20Dimitrov"> Daniel Dimitrov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> BingleSeq was developed as a shiny-based, intuitive, and comprehensive application that enables the analysis of single-Cell RNA-Sequencing count data. This was achieved via incorporating three state-of-the-art software packages for each type of RNA sequencing analysis, alongside functional annotation analysis and a way to assess the overlap of differential expression method results. At its current state, the functionality implemented within BingleSeq is comparable to that of other applications, also developed with the purpose of lowering the entry requirements to RNA Sequencing analyses. BingleSeq is available on GitHub and will be submitted to R/Bioconductor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title="bioinformatics">bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20annotation%20analysis" title=" functional annotation analysis"> functional annotation analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=single-cell%20RNA-sequencing" title=" single-cell RNA-sequencing"> single-cell RNA-sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptomics" title=" transcriptomics"> transcriptomics</a> </p> <a href="https://publications.waset.org/abstracts/120198/bingleseq-a-user-friendly-r-package-for-single-cell-rna-seq-data-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120198.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">205</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1827</span> Clinical Impact of Ultra-Deep Versus Sanger Sequencing Detection of Minority Mutations on the HIV-1 Drug Resistance Genotype Interpretations after Virological Failure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mohamed">S. Mohamed</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Gonzalez"> D. Gonzalez</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Sayada"> C. Sayada</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Halfon"> P. Halfon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drug resistance mutations are routinely detected using standard Sanger sequencing, which does not detect minor variants with a frequency below 20%. The impact of detecting minor variants generated by ultra-deep sequencing (UDS) on HIV drug-resistance (DR) interpretations has not yet been studied. Fifty HIV-1 patients who experienced virological failure were included in this retrospective study. The HIV-1 UDS protocol allowed the detection and quantification of HIV-1 protease and reverse transcriptase variants related to genotypes A, B, C, E, F, and G. DeepChek®-HIV simplified DR interpretation software was used to compare Sanger sequencing and UDS. The total time required for the UDS protocol was found to be approximately three times longer than Sanger sequencing with equivalent reagent costs. UDS detected all of the mutations found by population sequencing and identified additional resistance variants in all patients. An analysis of DR revealed a total of 643 and 224 clinically relevant mutations by UDS and Sanger sequencing, respectively. Three resistance mutations with > 20% prevalence were detected solely by UDS: A98S (23%), E138A (21%) and V179I (25%). A significant difference in the DR interpretations for 19 antiretroviral drugs was observed between the UDS and Sanger sequencing methods. Y181C and T215Y were the most frequent mutations associated with interpretation differences. A combination of UDS and DeepChek® software for the interpretation of DR results would help clinicians provide suitable treatments. A cut-off of 1% allowed a better characterisation of the viral population by identifying additional resistance mutations and improving the DR interpretation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=HIV-1" title="HIV-1">HIV-1</a>, <a href="https://publications.waset.org/abstracts/search?q=ultra-deep%20sequencing" title=" ultra-deep sequencing"> ultra-deep sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanger%20sequencing" title=" Sanger sequencing"> Sanger sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20resistance" title=" drug resistance"> drug resistance</a> </p> <a href="https://publications.waset.org/abstracts/6242/clinical-impact-of-ultra-deep-versus-sanger-sequencing-detection-of-minority-mutations-on-the-hiv-1-drug-resistance-genotype-interpretations-after-virological-failure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6242.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">335</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1826</span> Pollutants Removal from Synthetic Wastewater by the Combined Electrochemical Sequencing Batch Reactor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amin%20Mojiri">Amin Mojiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Akiyoshi%20Ohashi"> Akiyoshi Ohashi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tomonori%20Kindaichi"> Tomonori Kindaichi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Synthetic domestic wastewater was treated via combining treatment methods, including electrochemical oxidation, adsorption, and sequencing batch reactor (SBR). In the upper part of the reactor, an anode and a cathode (Ti/RuO<sub>2</sub>-IrO<sub>2</sub>) were organized in parallel for the electrochemical oxidation procedure. Sodium sulfate (Na<sub>2</sub>SO<sub>4</sub>) with a concentration of 2.5 g/L was applied as the electrolyte. The voltage and current were fixed on 7.50 V and 0.40 A, respectively. Then, 15% working value of the reactor was filled by activated sludge, and 85% working value of the reactor was added with synthetic wastewater. Powdered cockleshell, 1.5 g/L, was added in the reactor to do ion-exchange. Response surface methodology was employed for statistical analysis. Reaction time (h) and pH were considered as independent factors. A total of 97.0% biochemical oxygen demand, 99.9% phosphorous and 88.6% cadmium were eliminated at the optimum reaction time (80.0 min) and pH (6.4). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adsorption" title="adsorption">adsorption</a>, <a href="https://publications.waset.org/abstracts/search?q=electrochemical%20oxidation" title=" electrochemical oxidation"> electrochemical oxidation</a>, <a href="https://publications.waset.org/abstracts/search?q=metals" title=" metals"> metals</a>, <a href="https://publications.waset.org/abstracts/search?q=SBR" title=" SBR"> SBR</a> </p> <a href="https://publications.waset.org/abstracts/93816/pollutants-removal-from-synthetic-wastewater-by-the-combined-electrochemical-sequencing-batch-reactor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">210</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1825</span> A Parallel Implementation of k-Means in MATLAB</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dimitris%20Varsamis">Dimitris Varsamis</a>, <a href="https://publications.waset.org/abstracts/search?q=Christos%20Talagkozis"> Christos Talagkozis</a>, <a href="https://publications.waset.org/abstracts/search?q=Alkiviadis%20Tsimpiris"> Alkiviadis Tsimpiris</a>, <a href="https://publications.waset.org/abstracts/search?q=Paris%20Mastorocostas"> Paris Mastorocostas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this work is the parallel implementation of k-means in MATLAB, in order to reduce the execution time. Specifically, a new function in MATLAB for serial k-means algorithm is developed, which meets all the requirements for the conversion to a function in MATLAB with parallel computations. Additionally, two different variants for the definition of initial values are presented. In the sequel, the parallel approach is presented. Finally, the performance tests for the computation times respect to the numbers of features and classes are illustrated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=K-means%20algorithm" title="K-means algorithm">K-means algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20computations" title=" parallel computations"> parallel computations</a>, <a href="https://publications.waset.org/abstracts/search?q=Matlab" title=" Matlab"> Matlab</a> </p> <a href="https://publications.waset.org/abstracts/80503/a-parallel-implementation-of-k-means-in-matlab" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80503.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1824</span> A Survey on Constraint Solving Approaches Using Parallel Architectures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nebras%20Gharbi">Nebras Gharbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Itebeddine%20Ghorbel"> Itebeddine Ghorbel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the latest years and with the advancements of the multicore computing world, the constraint programming community tried to benefit from the capacity of new machines and make the best use of them through several parallel schemes for constraint solving. In this paper, we propose a survey of the different proposed approaches to solve Constraint Satisfaction Problems using parallel architectures. These approaches use in a different way a parallel architecture: the problem itself could be solved differently by several solvers or could be split over solvers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20programming" title=" parallel programming"> parallel programming</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint%20satisfaction%20problem" title=" constraint satisfaction problem"> constraint satisfaction problem</a>, <a href="https://publications.waset.org/abstracts/search?q=speed-up" title=" speed-up"> speed-up</a> </p> <a href="https://publications.waset.org/abstracts/50394/a-survey-on-constraint-solving-approaches-using-parallel-architectures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50394.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1823</span> Genomics of Adaptation in the Sea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agostinho%20Antunes">Agostinho Antunes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The completion of the human genome sequencing in 2003 opened a new perspective into the importance of whole genome sequencing projects, and currently multiple species are having their genomes completed sequenced, from simple organisms, such as bacteria, to more complex taxa, such as mammals. This voluminous sequencing data generated across multiple organisms provides also the framework to better understand the genetic makeup of such species and related ones, allowing to explore the genetic changes underlining the evolution of diverse phenotypic traits. Here, recent results from our group retrieved from comparative evolutionary genomic analyses of selected marine animal species will be considered to exemplify how gene novelty and gene enhancement by positive selection might have been determinant in the success of adaptive radiations into diverse habitats and lifestyles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marine%20genomics" title="marine genomics">marine genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20bioinformatics" title=" evolutionary bioinformatics"> evolutionary bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20genome%20sequencing" title=" human genome sequencing"> human genome sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=genomic%20analyses" title=" genomic analyses"> genomic analyses</a> </p> <a href="https://publications.waset.org/abstracts/20910/genomics-of-adaptation-in-the-sea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20910.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">611</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1822</span> Novel Coprocessor for DNA Sequence Alignment in Resequencing Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Atef%20Ibrahim">Atef Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Elsimary"> Hamed Elsimary</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20Aljumah"> Abdullah Aljumah</a>, <a href="https://publications.waset.org/abstracts/search?q=Fayez%20Gebali"> Fayez Gebali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a novel semi-systolic array architecture for an optimized parallel sequence alignment algorithm. This architecture has the advantage that it can be modified to be reused for multiple pass processing in order to increase the number of processing elements that can be packed into a single FPGA and to increase the number of sequences that can be aligned in parallel in a single FPGA. This resolves the potential problem of many FPGA resources left unused for designs that have large values of short read length. When using the previously published conventional hardware design. FPGA implementation results show that, for large values of short read lengths (M>128), the proposed design has a slightly higher speed up and FPGA utilization over the the conventional one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title="bioinformatics">bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20sequence%20alignment" title=" genome sequence alignment"> genome sequence alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=re-sequencing%20applications" title=" re-sequencing applications"> re-sequencing applications</a>, <a href="https://publications.waset.org/abstracts/search?q=systolic%20array" title=" systolic array "> systolic array </a> </p> <a href="https://publications.waset.org/abstracts/23325/novel-coprocessor-for-dna-sequence-alignment-in-resequencing-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23325.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">531</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1821</span> The Vision Baed Parallel Robot Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun%20Lim">Sun Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyun%20Jung"> Kyun Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we describe the control strategy of high speed parallel robot system with EtherCAT network. This work deals the parallel robot system with centralized control on the real-time operating system such as window TwinCAT3. Most control scheme and algorithm is implemented master platform on the PC, the input and output interface is ported on the slave side. The data is transferred by maximum 20usecond with 1000byte. EtherCAT is very high speed and stable industrial network. The control strategy with EtherCAT is very useful and robust on Ethernet network environment. The developed parallel robot is controlled pre-design nonlinear controller for 6G/0.43 cycle time of pick and place motion tracking. The experiment shows the good design and validation of the controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20control" title="parallel robot control">parallel robot control</a>, <a href="https://publications.waset.org/abstracts/search?q=etherCAT" title=" etherCAT"> etherCAT</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20inverse%20kinematic" title=" parallel robot inverse kinematic"> parallel robot inverse kinematic</a> </p> <a href="https://publications.waset.org/abstracts/27428/the-vision-baed-parallel-robot-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27428.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">571</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1820</span> Flowing Online Vehicle GPS Data Clustering Using a New Parallel K-Means Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Orhun%20Vural">Orhun Vural</a>, <a href="https://publications.waset.org/abstracts/search?q=Oguz%20%20Bayat"> Oguz Bayat</a>, <a href="https://publications.waset.org/abstracts/search?q=Rustu%20Akay"> Rustu Akay</a>, <a href="https://publications.waset.org/abstracts/search?q=Osman%20N.%20Ucan"> Osman N. Ucan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a new parallel approach clustering of GPS data. Evaluation has been made by comparing execution time of various clustering algorithms on GPS data. This paper aims to propose a parallel based on neighborhood K-means algorithm to make it faster. The proposed parallelization approach assumes that each GPS data represents a vehicle and to communicate between vehicles close to each other after vehicles are clustered. This parallelization approach has been examined on different sized continuously changing GPS data and compared with serial K-means algorithm and other serial clustering algorithms. The results demonstrated that proposed parallel K-means algorithm has been shown to work much faster than other clustering algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20k-means%20algorithm" title="parallel k-means algorithm">parallel k-means algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20clustering" title=" parallel clustering"> parallel clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering%20algorithms" title=" clustering algorithms"> clustering algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering%20on%20flowing%20data" title=" clustering on flowing data"> clustering on flowing data</a> </p> <a href="https://publications.waset.org/abstracts/86622/flowing-online-vehicle-gps-data-clustering-using-a-new-parallel-k-means-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86622.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1819</span> Parallel 2-Opt Local Search on GPU</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wen-Bao%20Qiao">Wen-Bao Qiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Charles%20Cr%C3%A9put"> Jean-Charles Créput</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To accelerate the solution for large scale traveling salesman problems (TSP), a parallel 2-opt local search algorithm with simple implementation based on Graphics Processing Unit (GPU) is presented and tested in this paper. The parallel scheme is based on technique of data decomposition by dynamically assigning multiple K processors on the integral tour to treat K edges’ 2-opt local optimization simultaneously on independent sub-tours, where K can be user-defined or have a function relationship with input size N. We implement this algorithm with doubly linked list on GPU. The implementation only requires O(N) memory. We compare this parallel 2-opt local optimization against sequential exhaustive 2-opt search along integral tour on TSP instances from TSPLIB with more than 10000 cities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%202-opt" title="parallel 2-opt">parallel 2-opt</a>, <a href="https://publications.waset.org/abstracts/search?q=double%20links" title=" double links"> double links</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20scale%20TSP" title=" large scale TSP"> large scale TSP</a>, <a href="https://publications.waset.org/abstracts/search?q=GPU" title=" GPU"> GPU</a> </p> <a href="https://publications.waset.org/abstracts/58582/parallel-2-opt-local-search-on-gpu" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58582.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">625</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1818</span> A Clustering-Sequencing Approach to the Facility Layout Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeideh%20Salimpour">Saeideh Salimpour</a>, <a href="https://publications.waset.org/abstracts/search?q=Sophie-Charlotte%20Viaux"> Sophie-Charlotte Viaux</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Azab"> Ahmed Azab</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Fazle%20Baki"> Mohammed Fazle Baki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Facility Layout Problem (FLP) is key to the efficient and cost-effective operation of a system. This paper presents a hybrid heuristic- and mathematical-programming-based approach that divides the problem conceptually into those of clustering and sequencing. First, clusters of vertically aligned facilities are formed, which are later on sequenced horizontally. The developed methodology provides promising results in comparison to its counterparts in the literature by minimizing the inter-distances for facilities which have more interactions amongst each other and aims at placing the facilities with more interactions at the centroid of the shop. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering-sequencing%20approach" title="clustering-sequencing approach">clustering-sequencing approach</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematical%20modeling" title=" mathematical modeling"> mathematical modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=unequal%20facility%20layout%20problem" title=" unequal facility layout problem"> unequal facility layout problem</a> </p> <a href="https://publications.waset.org/abstracts/58494/a-clustering-sequencing-approach-to-the-facility-layout-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">333</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1817</span> Parallelization by Domain Decomposition for 1-D Sugarcane Equation with Message Passing Interface</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ewedafe%20Simon%20Uzezi">Ewedafe Simon Uzezi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we presented a method based on Domain Decomposition (DD) for parallelization of 1-D Sugarcane Equation on parallel platform with parallel paradigms on Master-Slave platform using Message Passing Interface (MPI). The 1-D Sugarcane Equation was discretized using explicit method of discretization requiring evaluation nof temporal and spatial distribution of temperature. This platform gives better predictions of the effects of temperature distribution of the sugarcane problem. This work presented parallel overheads with overlapping communication and communication across parallel computers with numerical results across different block sizes with scalability. However, performance improvement strategies from the DD on various mesh sizes were compared experimentally and parallel results show speedup and efficiency for the parallel algorithms design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sugarcane" title="sugarcane">sugarcane</a>, <a href="https://publications.waset.org/abstracts/search?q=parallelization" title=" parallelization"> parallelization</a>, <a href="https://publications.waset.org/abstracts/search?q=explicit%20method" title=" explicit method"> explicit method</a>, <a href="https://publications.waset.org/abstracts/search?q=domain%20decomposition" title=" domain decomposition"> domain decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=MPI" title=" MPI"> MPI</a> </p> <a href="https://publications.waset.org/abstracts/192206/parallelization-by-domain-decomposition-for-1-d-sugarcane-equation-with-message-passing-interface" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192206.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">21</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1816</span> Implementation of CNV-CH Algorithm Using Map-Reduce Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aishik%20Deb">Aishik Deb</a>, <a href="https://publications.waset.org/abstracts/search?q=Rituparna%20Sinha"> Rituparna Sinha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have developed an algorithm to detect the abnormal segment/"structural variation in the genome across a number of samples. We have worked on simulated as well as real data from the BAM Files and have designed a segmentation algorithm where abnormal segments are detected. This algorithm aims to improve the accuracy and performance of the existing CNV-CH algorithm. The next-generation sequencing (NGS) approach is very fast and can generate large sequences in a reasonable time. So the huge volume of sequence information gives rise to the need for Big Data and parallel approaches of segmentation. Therefore, we have designed a map-reduce approach for the existing CNV-CH algorithm where a large amount of sequence data can be segmented and structural variations in the human genome can be detected. We have compared the efficiency of the traditional and map-reduce algorithms with respect to precision, sensitivity, and F-Score. The advantages of using our algorithm are that it is fast and has better accuracy. This algorithm can be applied to detect structural variations within a genome, which in turn can be used to detect various genetic disorders such as cancer, etc. The defects may be caused by new mutations or changes to the DNA and generally result in abnormally high or low base coverage and quantification values. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20detection" title="cancer detection">cancer detection</a>, <a href="https://publications.waset.org/abstracts/search?q=convex%20hull%20segmentation" title=" convex hull segmentation"> convex hull segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=map%20reduce" title=" map reduce"> map reduce</a>, <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title=" next generation sequencing"> next generation sequencing</a> </p> <a href="https://publications.waset.org/abstracts/132639/implementation-of-cnv-ch-algorithm-using-map-reduce-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132639.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1815</span> Dynamic Analysis of Offshore 2-HUS/U Parallel Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xie%20Kefeng">Xie Kefeng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20He"> Zhang He</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the stability and control demand of offshore small floating platform, a 2-HUS/U parallel mechanism was presented as offshore platform. Inverse kinematics was obtained by institutional constraint equation, and the dynamic model of offshore 2-HUS/U parallel platform was derived based on rigid body’s Lagrangian method. The equivalent moment of inertia, damping and driving force/torque variation of offshore 2-HUS/U parallel platform were analyzed. A numerical example shows that, for parallel platform of given motion, system’s equivalent inertia changes 1.25 times maximally. During the movement of platform, they change dramatically with the system configuration and have coupling characteristics. The maximum equivalent drive torque is 800 N. At the same time, the curve of platform’s driving force/torque is smooth and has good sine features. The control system needs to be adjusted according to kinetic equation during stability and control and it provides a basis for the optimization of control system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=2-HUS%2FU%20platform" title="2-HUS/U platform">2-HUS/U platform</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamics" title=" dynamics"> dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=Lagrange" title=" Lagrange"> Lagrange</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20platform" title=" parallel platform"> parallel platform</a> </p> <a href="https://publications.waset.org/abstracts/54812/dynamic-analysis-of-offshore-2-husu-parallel-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54812.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1814</span> Designing a Robust Controller for a 6 Linkage Robot </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20Khamooshian">G. Khamooshian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the main points of application of the mechanisms of the series and parallel is the subject of managing them. The control of this mechanism and similar mechanisms is one that has always been the intention of the scholars. On the other hand, modeling the behavior of the system is difficult due to the large number of its parameters, and it leads to complex equations that are difficult to solve and eventually difficult to control. In this paper, a six-linkage robot has been presented that could be used in different areas such as medical robots. Using these robots needs a robust control. In this paper, the system equations are first found, and then the system conversion function is written. A new controller has been designed for this robot which could be used in other parallel robots and could be very useful. Parallel robots are so important in robotics because of their stability, so methods for control of them are important and the robust controller, especially in parallel robots, makes a sense. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3-RRS" title="3-RRS">3-RRS</a>, <a href="https://publications.waset.org/abstracts/search?q=6%20linkage" title=" 6 linkage"> 6 linkage</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot" title=" parallel robot"> parallel robot</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a> </p> <a href="https://publications.waset.org/abstracts/100326/designing-a-robust-controller-for-a-6-linkage-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100326.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1813</span> Warning about the Risk of Blood Flow Stagnation after Transcatheter Aortic Valve Implantation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aymen%20Laadhari">Aymen Laadhari</a>, <a href="https://publications.waset.org/abstracts/search?q=G%C3%A1bor%20Sz%C3%A9kely"> Gábor Székely</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, the hemodynamics in the sinuses of Valsalva after Transcatheter Aortic Valve Implantation is numerically examined. We focus on the physical results in the two-dimensional case. We use a finite element methodology based on a Lagrange multiplier technique that enables to couple the dynamics of blood flow and the leaflets’ movement. A massively parallel implementation of a monolithic and fully implicit solver allows more accuracy and significant computational savings. The elastic properties of the aortic valve are disregarded, and the numerical computations are performed under physiologically correct pressure loads. Computational results depict that blood flow may be subject to stagnation in the lower domain of the sinuses of Valsalva after Transcatheter Aortic Valve Implantation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hemodynamics" title="hemodynamics">hemodynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=simulations" title=" simulations"> simulations</a>, <a href="https://publications.waset.org/abstracts/search?q=stagnation" title=" stagnation"> stagnation</a>, <a href="https://publications.waset.org/abstracts/search?q=valve" title=" valve"> valve</a> </p> <a href="https://publications.waset.org/abstracts/63534/warning-about-the-risk-of-blood-flow-stagnation-after-transcatheter-aortic-valve-implantation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63534.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">291</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1812</span> Accurate HLA Typing at High-Digit Resolution from NGS Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yazhi%20Huang">Yazhi Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Yang"> Jing Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dingge%20Ying"> Dingge Ying</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Zhang"> Yan Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Vorasuk%20Shotelersuk"> Vorasuk Shotelersuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Nattiya%20Hirankarn"> Nattiya Hirankarn</a>, <a href="https://publications.waset.org/abstracts/search?q=Pak%20Chung%20Sham"> Pak Chung Sham</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Lung%20Lau"> Yu Lung Lau</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanling%20Yang"> Wanling Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human leukocyte antigen (HLA) typing from next generation sequencing (NGS) data has the potential for applications in clinical laboratories and population genetic studies. Here we introduce a novel technique for HLA typing from NGS data based on read-mapping using a comprehensive reference panel containing all known HLA alleles and de novo assembly of the gene-specific short reads. An accurate HLA typing at high-digit resolution was achieved when it was tested on publicly available NGS data, outperforming other newly-developed tools such as HLAminer and PHLAT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20leukocyte%20antigens" title="human leukocyte antigens">human leukocyte antigens</a>, <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title=" next generation sequencing"> next generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=whole%20exome%20sequencing" title=" whole exome sequencing"> whole exome sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=HLA%20typing" title=" HLA typing"> HLA typing</a> </p> <a href="https://publications.waset.org/abstracts/26433/accurate-hla-typing-at-high-digit-resolution-from-ngs-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26433.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">663</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1811</span> Parallel Querying of Distributed Ontologies with Shared Vocabulary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharjeel%20Aslam">Sharjeel Aslam</a>, <a href="https://publications.waset.org/abstracts/search?q=Vassil%20Vassilev"> Vassil Vassilev</a>, <a href="https://publications.waset.org/abstracts/search?q=Karim%20Ouazzane"> Karim Ouazzane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ontologies and various semantic repositories became a convenient approach for implementing model-driven architectures of distributed systems on the Web. SPARQL is the standard query language for querying such. However, although SPARQL is well-established standard for querying semantic repositories in RDF and OWL format and there are commonly used APIs which supports it, like Jena for Java, its parallel option is not incorporated in them. This article presents a complete framework consisting of an object algebra for parallel RDF and an index-based implementation of the parallel query engine capable of dealing with the distributed RDF ontologies which share common vocabulary. It has been implemented in Java, and for validation of the algorithms has been applied to the problem of organizing virtual exhibitions on the Web. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20ontologies" title="distributed ontologies">distributed ontologies</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20querying" title=" parallel querying"> parallel querying</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20indexing" title=" semantic indexing"> semantic indexing</a>, <a href="https://publications.waset.org/abstracts/search?q=shared%20vocabulary" title=" shared vocabulary"> shared vocabulary</a>, <a href="https://publications.waset.org/abstracts/search?q=SPARQL" title=" SPARQL"> SPARQL</a> </p> <a href="https://publications.waset.org/abstracts/105046/parallel-querying-of-distributed-ontologies-with-shared-vocabulary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105046.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1810</span> Evolutionary Genomic Analysis of Adaptation Genomics </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agostinho%20Antunes">Agostinho Antunes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The completion of the human genome sequencing in 2003 opened a new perspective into the importance of whole genome sequencing projects, and currently multiple species are having their genomes completed sequenced, from simple organisms, such as bacteria, to more complex taxa, such as mammals. This voluminous sequencing data generated across multiple organisms provides also the framework to better understand the genetic makeup of such species and related ones, allowing to explore the genetic changes underlining the evolution of diverse phenotypic traits. Here, recent results from our group retrieved from comparative evolutionary genomic analyses of varied species will be considered to exemplify how gene novelty and gene enhancement by positive selection might have been determinant in the success of adaptive radiations into diverse habitats and lifestyles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptation" title="adaptation">adaptation</a>, <a href="https://publications.waset.org/abstracts/search?q=animals" title=" animals"> animals</a>, <a href="https://publications.waset.org/abstracts/search?q=evolution" title=" evolution"> evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=genomics" title=" genomics"> genomics</a> </p> <a href="https://publications.waset.org/abstracts/23726/evolutionary-genomic-analysis-of-adaptation-genomics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23726.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1809</span> Removal of Nitrogen Compounds from Industrial Wastewater Using Sequencing Batch Reactor: The Effects of React Time</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20W.%20Alattabi">Ali W. Alattabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Khalid%20S.%20Hashim"> Khalid S. Hashim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassnen%20M.%20Jafer"> Hassnen M. Jafer</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Alzeyadi"> Ali Alzeyadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was performed to optimise the react time (RT) and study its effects on the removal rates of nitrogen compounds in a sequencing batch reactor (SBR) treating synthetic industrial wastewater. The results showed that increasing the RT from 4 h to 10, 16 and 22 h significantly improved the nitrogen compounds’ removal efficiency, it was increased from 69.5% to 95%, 75.7 to 97% and from 54.2 to 80.1% for NH<sub>3</sub>-N, NO<sub>3</sub>-N and NO<sub>2</sub>-N respectively. The results obtained from this study showed that the RT of 22 h was the optimum for nitrogen compounds removal efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ammonia-nitrogen" title="ammonia-nitrogen">ammonia-nitrogen</a>, <a href="https://publications.waset.org/abstracts/search?q=retention%20time" title=" retention time"> retention time</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrate" title=" nitrate"> nitrate</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrite" title=" nitrite"> nitrite</a>, <a href="https://publications.waset.org/abstracts/search?q=sequencing%20batch%20reactor" title=" sequencing batch reactor"> sequencing batch reactor</a>, <a href="https://publications.waset.org/abstracts/search?q=sludge%20characteristics" title=" sludge characteristics"> sludge characteristics</a> </p> <a href="https://publications.waset.org/abstracts/54965/removal-of-nitrogen-compounds-from-industrial-wastewater-using-sequencing-batch-reactor-the-effects-of-react-time" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54965.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">363</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1808</span> Automatic Reporting System for Transcriptome Indel Identification and Annotation Based on Snapshot of Next-Generation Sequencing Reads Alignment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuo%20Mu">Shuo Mu</a>, <a href="https://publications.waset.org/abstracts/search?q=Guangzhi%20Jiang"> Guangzhi Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinsa%20Chen"> Jinsa Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The analysis of Indel for RNA sequencing of clinical samples is easily affected by sequencing experiment errors and software selection. In order to improve the efficiency and accuracy of analysis, we developed an automatic reporting system for Indel recognition and annotation based on image snapshot of transcriptome reads alignment. This system includes sequence local-assembly and realignment, target point snapshot, and image-based recognition processes. We integrated high-confidence Indel dataset from several known databases as a training set to improve the accuracy of image processing and added a bioinformatical processing module to annotate and filter Indel artifacts. Subsequently, the system will automatically generate data, including data quality levels and images results report. Sanger sequencing verification of the reference Indel mutation of cell line NA12878 showed that the process can achieve 83% sensitivity and 96% specificity. Analysis of the collected clinical samples showed that the interpretation accuracy of the process was equivalent to that of manual inspection, and the processing efficiency showed a significant improvement. This work shows the feasibility of accurate Indel analysis of clinical next-generation sequencing (NGS) transcriptome. This result may be useful for RNA study for clinical samples with microsatellite instability in immunotherapy in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20reporting" title="automatic reporting">automatic reporting</a>, <a href="https://publications.waset.org/abstracts/search?q=indel" title=" indel"> indel</a>, <a href="https://publications.waset.org/abstracts/search?q=next-generation%20sequencing" title=" next-generation sequencing"> next-generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=NGS" title=" NGS"> NGS</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptome" title=" transcriptome"> transcriptome</a> </p> <a href="https://publications.waset.org/abstracts/133470/automatic-reporting-system-for-transcriptome-indel-identification-and-annotation-based-on-snapshot-of-next-generation-sequencing-reads-alignment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133470.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">191</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1807</span> Language Shapes Thought: An Experimental Study on English and Mandarin Native Speakers' Sequencing of Size</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hsi%20Wei">Hsi Wei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Does the language we speak affect the way we think? This question has been discussed for a long time from different aspects. In this article, the issue is examined with an experiment on how speakers of different languages tend to do different sequencing when it comes to the size of general objects. An essential difference between the usage of English and Mandarin is the way we sequence the size of places or objects. In English, when describing the location of something we may say, for example, ‘The pen is inside the trashcan next to the tree at the park.’ In Mandarin, however, we would say, ‘The pen is at the park next to the tree inside the trashcan.’ It’s clear that generally English use the sequence of small to big while Mandarin the opposite. Therefore, the experiment was conducted to test if the difference of the languages affects the speakers’ ability to do the different sequencing. There were two groups of subjects; one consisted of English native speakers, another of Mandarin native speakers. Within the experiment, three nouns were showed as a group to the subjects as their native languages. Before they saw the nouns, they would first get an instruction of ‘big to small’, ‘small to big’, or ‘repeat’. Therefore, the subjects had to sequence the following group of nouns as the instruction they get or simply repeat the nouns. After completing every sequencing and repetition in their minds, they pushed a button as reaction. The repetition design was to gather the mere reading time of the person. As the result of the experiment showed, English native speakers reacted more quickly to the sequencing of ‘small to big’; on the other hand, Mandarin native speakers reacted more quickly to the sequence ‘big to small’. To conclude, this study may be of importance as a support for linguistic relativism that the language we speak do shape the way we think. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=language" title="language">language</a>, <a href="https://publications.waset.org/abstracts/search?q=linguistic%20relativism" title=" linguistic relativism"> linguistic relativism</a>, <a href="https://publications.waset.org/abstracts/search?q=size" title=" size"> size</a>, <a href="https://publications.waset.org/abstracts/search?q=sequencing" title=" sequencing"> sequencing</a> </p> <a href="https://publications.waset.org/abstracts/72278/language-shapes-thought-an-experimental-study-on-english-and-mandarin-native-speakers-sequencing-of-size" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72278.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">281</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1806</span> Genomics of Aquatic Adaptation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agostinho%20Antunes">Agostinho Antunes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The completion of the human genome sequencing in 2003 opened a new perspective into the importance of whole genome sequencing projects, and currently multiple species are having their genomes completed sequenced, from simple organisms, such as bacteria, to more complex taxa, such as mammals. This voluminous sequencing data generated across multiple organisms provides also the framework to better understand the genetic makeup of such species and related ones, allowing to explore the genetic changes underlining the evolution of diverse phenotypic traits. Here, recent results from our group retrieved from comparative evolutionary genomic analyses of selected marine animal species will be considered to exemplify how gene novelty and gene enhancement by positive selection might have been determinant in the success of adaptive radiations into diverse habitats and lifestyles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=comparative%20genomics" title="comparative genomics">comparative genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20evolution" title=" adaptive evolution"> adaptive evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title=" bioinformatics"> bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=phylogenetics" title=" phylogenetics"> phylogenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20mining" title=" genome mining"> genome mining</a> </p> <a href="https://publications.waset.org/abstracts/23727/genomics-of-aquatic-adaptation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23727.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">533</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1805</span> The Role and Importance of Genome Sequencing in Prediction of Cancer Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Sadeghi">M. Sadeghi</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Pezeshk"> H. Pezeshk</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Tusserkani"> R. Tusserkani</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Sharifi%20Zarchi"> A. Sharifi Zarchi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Malekpour"> A. Malekpour</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Foroughmand"> M. Foroughmand</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Goliaei"> S. Goliaei</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Totonchi"> M. Totonchi</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Ansari%E2%80%93Pour"> N. Ansari–Pour </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The role and relative importance of intrinsic and extrinsic factors in the development of complex diseases such as cancer still remains a controversial issue. Determining the amount of variation explained by these factors needs experimental data and statistical models. These models are nevertheless based on the occurrence and accumulation of random mutational events during stem cell division, thus rendering cancer development a stochastic outcome. We demonstrate that not only individual genome sequencing is uninformative in determining cancer risk, but also assigning a unique genome sequence to any given individual (healthy or affected) is not meaningful. Current whole-genome sequencing approaches are therefore unlikely to realize the promise of personalized medicine. In conclusion, since genome sequence differs from cell to cell and changes over time, it seems that determining the risk factor of complex diseases based on genome sequence is somewhat unrealistic, and therefore, the resulting data are likely to be inherently uninformative. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20risk" title="cancer risk">cancer risk</a>, <a href="https://publications.waset.org/abstracts/search?q=extrinsic%20factors" title=" extrinsic factors"> extrinsic factors</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20sequencing" title=" genome sequencing"> genome sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=intrinsic%20factors" title=" intrinsic factors"> intrinsic factors</a> </p> <a href="https://publications.waset.org/abstracts/75348/the-role-and-importance-of-genome-sequencing-in-prediction-of-cancer-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">270</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">‹</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=massively%20parallel%20sequencing&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=massively%20parallel%20sequencing&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=massively%20parallel%20sequencing&page=4">4</a></li> <li class="page-item"><a class="page-link" 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