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The Value of Genomic Analysis - Google Health
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glue-mod-order-2"> <div class="g-health-hero__content"> <h1 class="glue-headline glue-headline--headline-1"> The value of genomic analysis </h1> <div class="g-h-markdown glue-body glue-mod-spacer-4-top"> <p>Genetic heritability is responsible for <a href="https://www.healthaffairs.org/doi/10.1377/hlthaff.21.2.78">30% of individual health outcomes</a>, but is hardly used to guide disease prevention and care. Each individual carries 4-5 million genetic variants, each with varying influence on traits related to our health. The cost to sequence a genome has reduced drastically in recent years, and sequence data shows potential for ubiquitous use. However, the ability to read the sequence accurately and to meaningfully interpret it remain obstacles to broad adoption.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-6 glue-grid__col--span-12-md glue-mod-order-1-md g-h-landing-hero_image"> <img src="https://lh3.googleusercontent.com/SUfK4D1_w0QJR3pjG-C4fbDQ7lYoDU6so6-Ld3pNLOSh0KjFnJqkxGskpkaXTiZKf2qUH08laINuJjA3_04bl9O7HPN9dLwkyvDPxqhglBDHEWwslLs8=w1100" alt="Sisters assembling a puzzle"> </div> </div> </div> </section> <div class="g-h-swoop g-h-swoop--genomics-swoop-1"> <svg xmlns="http://www.w3.org/2000/svg" class="g-h-swoop-image" width="236.935" height="729.657" viewBox="0 0 236.935 729.657"><path d="M236.864.996s-87.382-.083-83.582 72.131c3.148 59.828 41.53 78.689 40.948 153.006-.368 47-11.6 91.9-88.515 167.214-49.652 48.618-142.076 143.169-88.524 249.181 19.472 38.547 78.016 73.958 154.495 83.592a333.055 333.055 0 0065.178 1.654" fill="none" stroke="#34a953" stroke-miterlimit="10" stroke-width="2"/></svg> </div> <section class="g-h-block-style"> <div class="glue-page g-h-health__wrapper g-h-health__genomics-analysis"> <div class="g-h-image-text"> <div class="glue-grid"> <div class="glue-grid__col glue-grid__col--span-6 glue-grid__col--span-12-md glue-mod-order-3 glue-mod-order-1-md glue-mod-order-1-sm "> <div class="g-h-html-video g-h-html-video--large"> <video id="video-mp4" class="g-h-html-video__player" autoplay muted playsinline loop> <source src="https://kstatic.googleusercontent.com/files/5864509032876d46c6bb524779e8c1189ba3571f61d95f0f05afeaf3e3571a6f6862ecb7a2282f1ed7952154797e081b5751b77b9d4862b8c2c6f7e0cc984508" type="video/mp4"> </video> </div> </div> <div class="glue-grid__col glue-grid__col--align-middle glue-grid__col--span-6 glue-grid__col--span-12-md glue-mod-order-2 glue-mod-order-2-md "> <div class="g-h-markdown glue-body"> <h2 class="glue-headline glue-headline--headline-3 glue-mod-spacer-3-bottom">Improving the accuracy of genomic analysis</h2> <p> Sequencing genomes enables us to identify variants in a person’s DNA that indicate genetic disorders such as an elevated risk for breast cancer. </p> <h2 class="glue-headline glue-headline--headline-3 glue-mod-spacer-3-bottom glue-mod-spacer-7-top">Highly accurate genomes with deep neural networks</h2> <p> Despite rapid advances in sequencing technologies, accurately calling genetic variants present in an individual genome from billions of short, errorful sequence reads remains challenging. As published in <a href="https://www.nature.com/articles/nbt.4235" rel="noopener noreferrer" target="_blank">Nature Biotechnology</a>, DeepVariant, <a href="https://github.com/google/deepvariant" rel="noopener noreferrer" target="_blank">an open-source variant caller</a> that uses a deep neural network to call genetic variants from next-generation DNA sequencing data, significantly improves the accuracy in identifying variant locations, reducing the error rate by more than 50%. <a href="https://github.com/google/deepvariant" rel="noopener noreferrer" target="_blank">Learn more</a> </p> </div> </div> </div> </div> </div> </section> <section class="glue-mod-spacer-5-bottom"> <div class="glue-page g-h-health__wrapper"> <div class="glue-grid"> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> <div class="glue-grid__col glue-grid__col--span-8 glue-grid__col--span-10-md"> <div class="g-h-text"> <div class="g-h-text__title"> <h2 class="glue-headline glue-headline--headline-3 glue-mod-text-center glue-mod-spacer-3-bottom"> Winner in PrecisionFDA V2 Truth Challenge </h2> </div> <div class="g-h-text__body"> <div class="g-h-markdown glue-body glue-mod-text-center"> <p>DeepVariant won awards for Best Overall accuracy in 3 of 4 instrument categories in the <a href="https://precision.fda.gov/challenges/10" rel="noopener noreferrer" target="_blank">PrecisionFDA V2 Truth Challenge.</a> Compared to previous state-of-the-art models, DeepVariant v1.0 significantly reduces the errors for widely-used sequencing data types, including Illumina and Pacific Biosciences. <a href="https://ai.googleblog.com/2020/09/improving-accuracy-of-genomic-analysis.html" rel="noopener noreferrer" target="_blank">Read the article</a></p> </div> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> </div> </div> </section> <div class="g-h-health__wrapper"> <section class="section-spacer"> <div class="g-h-image-text"> <div class="glue-grid"> <div class="glue-grid__col glue-grid__col--span-6 glue-grid__col--span-12-md glue-mod-order-1 glue-mod-order-1-md glue-mod-order-1-sm"> <div class="g-h-image-text__image"> <picture> <source media="(max-width: 599px)" data-srcset="https://lh3.googleusercontent.com/gL0ZplYqB7lVpgJNPZ9mFHmz72e_G8jDmQV6l6K1a6L-FOvlBhE2zPB-Rq0AukZiV-BH-THYabQnY--wZG6MArUaU3sNnW9al_diW7zkeXpwrrVqzZw=w2464-e30" srcset="https://lh3.googleusercontent.com/gL0ZplYqB7lVpgJNPZ9mFHmz72e_G8jDmQV6l6K1a6L-FOvlBhE2zPB-Rq0AukZiV-BH-THYabQnY--wZG6MArUaU3sNnW9al_diW7zkeXpwrrVqzZw=w2464-e30"> <source data-srcset="https://lh3.googleusercontent.com/iv_kUBfwLXNnjKjpNUz2Vyr4iDyZO512iB0S4HkAhEBaJDpLNWjDHU-pJGg8qiyUye7mulzqHts9R7pleLUUMevvV3TI1X2pTVPfYdicWa4MvjCW8SE=w2464-e30 2x" srcset="https://lh3.googleusercontent.com/iv_kUBfwLXNnjKjpNUz2Vyr4iDyZO512iB0S4HkAhEBaJDpLNWjDHU-pJGg8qiyUye7mulzqHts9R7pleLUUMevvV3TI1X2pTVPfYdicWa4MvjCW8SE=w2464-e30 2x"> <img data-src="https://lh3.googleusercontent.com/iv_kUBfwLXNnjKjpNUz2Vyr4iDyZO512iB0S4HkAhEBaJDpLNWjDHU-pJGg8qiyUye7mulzqHts9R7pleLUUMevvV3TI1X2pTVPfYdicWa4MvjCW8SE=w2464-e30 2x" alt="Blurry image of genetic sequence" src="https://lh3.googleusercontent.com/iv_kUBfwLXNnjKjpNUz2Vyr4iDyZO512iB0S4HkAhEBaJDpLNWjDHU-pJGg8qiyUye7mulzqHts9R7pleLUUMevvV3TI1X2pTVPfYdicWa4MvjCW8SE=w2464-e30 2x"> </picture> </div> </div> <div class="glue-grid__col glue-grid__col--span-6 glue-grid__col--span-12-md glue-mod-order-3 glue-mod-order-2-md glue-mod-order-2-sm"> <div class="g-h-image-text__title"> <h2 class="glue-headline glue-headline--headline-2 glue-mod-spacer-3-bottom"> </h2> </div> <div class="g-h-image-text__text"> <div class="g-h-markdown glue-body"> <h2 class="glue-headline glue-headline--headline-3 glue-mod-spacer-3-bottom">Identifying disease-causing variants in cancer patients</h2> <p> Researchers wanted to understand if incorporating automated deep learning technology would improve the detection of disease-causing variants in patients with cancer. In a cross-sectional study published in <a href="https://jamanetwork.com/journals/jama/article-abstract/2772962" rel="noopener noreferrer" target="_blank">JAMA</a> of 2,367 prostate cancer and melanoma patients in the US and Europe, DeepVariant found disease-causing variants in 14% more individuals than prior state-of-the-art methods. </p> <h2 class="glue-headline glue-headline--headline-3 glue-mod-spacer-3-bottom glue-mod-spacer-7-top">Building large-scale cohorts for genetic discovery research</h2> <p> Large cohorts of sequenced individuals are the foundations for discovery of novel genetic associations with disease. We developed best practices for generating cohorts that substantially improves over previous methods, which has been adopted by the <a href="https://www.ukbiobank.ac.uk/" rel="noopener noreferrer" target="_blank">UK Biobank</a> for its large-scale sequencing efforts. <a href="https://doi.org/10.1093/bioinformatics/btaa1081" rel="noopener noreferrer" target="_blank">Read the article</a> </p> </div> </div> </div> </div> </div> </section> </div> <section class="g-h-block-style glue-mod-spacer-7-bottom"> <div class="glue-page"> <div class="glue-grid"> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> <div class="glue-grid__col glue-grid__col--span-8 glue-grid__col--span-10-md"> <div class="g-h-text"> <div class="g-h-text__title"> <h2 class="glue-headline glue-headline--headline-3 glue-mod-text-center glue-mod-spacer-3-bottom"> Improving genetic association discovery with machine learning </h2> </div> <div class="g-h-text__body"> <div class="g-h-markdown glue-body glue-mod-text-center"> <p>Discovering genetic variants associated with a trait of interest requires a large cohort of individuals with both genetic and trait information. As published in <a href="https://doi.org/10.1016/j.ajhg.2021.05.004" rel="noopener noreferrer" target="_blank">AJHG</a>, we demonstrate that using a machine learning model to predict eye-disease-related traits from fundus images significantly improves discovery of genetic variants influencing those traits.</p> </div> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> </div> </div> </section> <div class="g-h-swoop g-h-swoop--genomics-swoop-2"> <svg class="g-h-swoop-image g-h-swoop-image--full" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1471.221 157.845"><path vector-effect="non-scaling-stroke" d="M.382 143.081S532.097-77.03 1096.437 30.671c124.422 23.745 251.346 63.887 374.331 126.282" fill="none" stroke="#FBBC04" stroke-miterlimit="10" stroke-width="2"/></svg> </div> <section class="g-h-block-style glue-mod-spacer-7-top section-spacer g-h-genomics-partners"> <div class="glue-page g-h-health__wrapper"> <div class="glue-grid glue-mod-spacer-5-bottom"> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> <div class="glue-grid__col glue-grid__col--span-8 glue-grid__col--span-10-md"> <h2 class="glue-headline glue-headline--headline-3 glue-mod-text-center glue-mod-spacer-3-bottom"> Our partners in genomics research </h2> <div class="g-h-markdown glue-body glue-mod-text-center"> <p>Because genomic data is highly personal, to the greatest extent possible we use datasets that are fully public or are broadly available to qualified researchers. We also partner with trusted organizations that contribute scientific and technology development to improve standards in genomic analysis and enhance the utility of sequencing data.</p> </div> </div> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-1-md"></div> </div> <div class="glue-grid"> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w500-e30" loading="lazy" alt="Pacific Biosciences logo" src="https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w500-e30" data-srcset="https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w800 800w, https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w800 800w, https://lh3.googleusercontent.com/Vsi4ol6CAKiay678smxoZwoFXtpBv9LJGy_8Y7j0M4KFy7jUyR9e1COu9dDiqlMi-n_JUgkRR_VPFaYOZdDnjWy2aiJwyp8RehraTgOHx4Nl5bszqW8=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>DeepVariant’s <a href="https://precision.fda.gov/challenges/10">precisionFDA Truth Challenge V2</a> submission using PacBio HiFi reads achieved the highest single-technology accuracy, which has been featured on the <a href="https://www.pacb.com/blog/precisionfda-challenge/">PacBio blog</a> and in a <a href="https://bioengineeringcommunity.nature.com/posts/highly-accurate-long-read-dna-sequencing-improves-analysis-of-a-human-genome">Nature Biotechnology retrospective</a>. The collaboration also successfully launched <a href="https://github.com/google/deepconsensus">DeepConsensus</a>, which improves HiFi yield and read quality compared to existing consensus basecalling methods.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w500-e30" loading="lazy" alt="Logo for Reneneron" src="https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w500-e30" data-srcset="https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w800 800w, https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w800 800w, https://lh3.googleusercontent.com/1gifKsQKZdREY9nJMW6s9QfTvQJ37_K5lxo7hOxpkd1ytxljZbOBCDsONcquReM_w5IS-pQrqzi71Zxtw6EUOx-ultYfOiWRsUMDs5tkzagSuxJr8R4=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>The Regeneron Genetics Center, one of the world’s largest human genomic research efforts, has adopted DeepVariant and re-trained specialized models for both internal projects and the delivery of <a href="https://www.medrxiv.org/content/10.1101/2020.11.02.20222232v1.full">200,000 exomes to UKBiobank</a>.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w500-e30" loading="lazy" alt="Logo for University of California Santa Cruz Genomics Institute" src="https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w500-e30" data-srcset="https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w800 800w, https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w800 800w, https://lh3.googleusercontent.com/dYhN-oL32ryCtPF-6fOat7oi3WG6y8bN986PCf6wipe8iJmiHrMy9n4QD-FHV4W_voq-yESl9VMU2jLTtMoF36F2eQUGWjzfjbi2QqBMbt6HY41o8z4=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p><a href="https://www.soe.ucsc.edu/people/benedict">Benedict Paten</a>’s lab at UC Santa Cruz collaborated with Google on <a href="https://github.com/kishwarshafin/pepper/blob/r0.1/docs/PEPPER_variant_calling.md">PEPPER-DeepVariant</a>, which won best accuracy in the Oxford Nanopore Technologies category of the <a href="https://precision.fda.gov/challenges/10">PrecisionFDA</a>. The paper was also published in <a href="https://www.nature.com/articles/s41592-021-01299-w">Nature Methods</a>.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w500-e30" loading="lazy" alt="Logo for NVIDIA" src="https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w500-e30" data-srcset="https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w800 800w, https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w800 800w, https://lh3.googleusercontent.com/3p-YUbT3SdzY4pf5rVPp2TTlDnpY2nPiYOkIWuzLZXWY21_BrGBUduDn1zF3q0gVLKPq5p9vWA27NPg02d-YyknzuaI0N6aYQ2QqE6EqCeDxutQzlME=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>NVIDIA Clara Parabricks Pipelines software provides a suite of accelerated bioinformatic tools to support DNA and RNA applications, running on a GPU. Their implementation of DeepVariant processes a 30x whole human genome in less than 25 minutes from fastq to vcf using their latest A100 GPU.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w500-e30" loading="lazy" alt="Logo for GenapSys" src="https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w500-e30" data-srcset="https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w800 800w, https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w800 800w, https://lh3.googleusercontent.com/wuJ7jG3pWFXsr_bf72GGl20zgTXRFoEHc5n27lqjimoEciZWYrEJCUS3_R54cwZVStvH_JRWedF00WfWWS9rw2fc_9fL3sMC-DAnx3db5QZm06y-fstu=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>GenapSys trained a <a href="https://github.com/GenapsysInc/genapsys_deepvariant/blob/master/docs/GenapSys_DeepVariant_WES_Model.md">custom DeepVariant model</a> to provide a highly accurate variant caller for their new high accuracy, low cost, benchtop sequencing instrument.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom last-card"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w500-e30" loading="lazy" alt="Logo for GenapSys" src="https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w500-e30" data-srcset="https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w800 800w, https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w800 800w, https://lh3.googleusercontent.com/2V7Gvp-HSbx8kYMg_thyD_WsMhu4Agd5IImj5ITMHFZJoV-f5BWGKcqoL69XZtVccGNge8JYBw8pqvol23u0_fpEAbiS8Vjgj6CB0LqbzmNppct6Jr-E=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>ATGenomix builds a Spark framework which <a href="https://github.com/atgenomix/deepvariant-on-spark">efficiently parallelizes DeepVariant</a>, for their work with several clinical partners.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-0-md"></div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w500-e30" loading="lazy" alt="Logo for DNAnexus" src="https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w500-e30" data-srcset="https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w800 800w, https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w800 800w, https://lh3.googleusercontent.com/ulusqcQw0HwurIvrGMXXxUVb5Iwij5BFPxmUs6KIscrudDGC59SU4_2wtvhJJc9bUuQgOFlCpGi5nKYVByYj-GiocUYT2GDDSe6dKaQ4iUlsXLUjBA=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>DNAnexus provides a secure and collaborative fit-for-purpose bioinformatics system that integrates cutting-edge tools like DeepVariant. They work with industry leaders like Google, the FDA, and UK Biobank to provide solutions to the scientific community.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-4 glue-grid__col--span-6-md"> <div class="g-h-partner g-h-partner--left glue-mod-spacer-5-bottom last-card"> <div class="g-h-partner__image"> <img data-src="https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w500-e30" loading="lazy" alt="Logo for DNAstack" src="https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w500-e30" data-srcset="https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w800 800w, https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w1400" sizes="(max-width: 1023px) 70vw, 45vw" srcset="https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w800 800w, https://lh3.googleusercontent.com/qqujgrxXNtjleupJWJfnkmYOe0xm_pxbA7ExAox6dyv7Co9Zx5Avr4T4AZ8N-aW5nV4GbbF6mrPdtvYgt7AGMymKJK0k52h4byL7YKP0OPges8DNB-Q=w1400" sizes="(max-width: 1023px) 70vw, 45vw"> </div> <div class="g-h-markdown glue-body"> <p>DNAstack enables researchers to organize, share, and analyze genomics and biomedical data, using tools like DeepVariant, in an easy to use cloud environment. DNAstack's software products use open standards developed by the Global Alliance for Genomics & Health.</p> </div> </div> </div> <div class="glue-grid__col glue-grid__col--span-2 glue-grid__col--span-0-md"></div> </div> </div> </section> </main> <footer class="glue-footer glue-footer--standard"> <section class="glue-footer__upper"> <section class="glue-social"> <div class="glue-social__group"> <p class="glue-social__title glue-social__title--inline"> Follow us </p> <ul class="glue-social__list glue-no-bullet"> <li class="glue-social__item"> <a class="glue-social__link" href="https://www.youtube.com/playlist?list=PL590L5WQmH8e3dS9CtvRofb0nfdGb-Of9" aria-label="Follow us on YouTube" target="_blank" rel="noopener noreferrer"> <svg role="presentation" aria-hidden="true" class="glue-icon glue-icon--24px glue-icon--social glue-icon--no-padding"> <use xlink:href="#video-youtube"></use> </svg> </a> </li> <li class="glue-social__item"> <a class="glue-social__link" 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