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      1. Disease areas ӳý brings people together to advance the understanding and treatment of disease.
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      2. Research areas Through programs spanning genetics, biology, artificial intelligence (AI), and therapeutic development, ӳý researchers are making discoveries that drive biomedical science forward.
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          • AI and machine learning
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      3. Technology areas Our researchers use their expertise in creating, adapting, and applying a variety of technologies to enable science here and beyond.
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      4. Science
        1. Patient-partnered research Patients partner with our scientists to accelerate the pace of discovery and find better treatments.
        2. Partnering and licensing We work closely with pharmaceutical, biotech, and technology partners to accelerate the translation of our discoveries.
        3. Publications A catalog of scientific papers published by our members and staff scientists.
        4. Resources, services, and tools Key scientific datasets and computational tools developed by our scientists and their collaborators.
        5. Collaborations and consortia We join with institutions and scientists the world over to address foundational challenges in science and health.
  • Centers
      1. Carlos Slim Center for Health Research The Slim Center aims to bring the benefits of genomics-driven medicine to Latin America, gleaning new insights into diseases with relevance to the region.
      2. Gerstner Center for Cancer Diagnostics The Gerstner Center is developing next-generation diagnostic technology for cancer detection and tracking disease progression.
      3. Klarman Cell Observatory The Klarman Cell Observatory is systematically defining mammalian cellular circuits, how they work together to create tissues and organs, and are perturbed to cause disease.
      4. Merkin Institute for Transformative Technologies in Healthcare The Merkin Institute is supporting early-stage ideas aimed at advancing powerful technological approaches for improving how we understand and treat disease.
      5. Novo Nordisk Foundation Center for Genomic Mechanisms of Disease This center is developing new paradigms and technologies to scale the discovery of biological mechanisms of common, complex diseases, by facilitating close collaborations between the ӳý and the Danish research community.
      6. Eric and Wendy Schmidt Center The EWSC is catalyzing a new field of interdisciplinary research at the intersection of data science and life science, aimed at improving human health.
      7. Stanley Center for Psychiatric Research The Stanley Center aims to reduce the burden of serious mental illness by contributing new insights into pathogenesis, identifying biomarkers, and paving the way toward new treatments.
  • Education and outreach
      1. Art and science connection Explore the connection between art and science and how we bring together artists and ӳý scientists through our artist-in-residence program, gallery exhibitions, and ongoing public conversations.
      2. ӳý Discovery Center Visit our free public educational space that showcases how researchers at the ӳý and their colleagues around the world seek to understand and treat human disease.
      3. Learning resources Access free classroom materials and more for STEM educators, parents, students, tutors, and others.
      4. Public programs Discover remarkable stories of scientific progress, and explore the intersections of science, medicine, and society.
      5. Student opportunities Learn about ӳý's mentored research offerings for high school students, college students, and recent college graduates.
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      1. News and insights Learn about breakthroughs from ӳý scientists.
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  • Careers
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A Bayesian method for detecting pairwise associations in compositional data.
Schwager E, Mallick H, Ventz S, Huttenhower C. A Bayesian method for detecting pairwise associations in compositional data. PLoS Comput Biol. 2017;13(11):e1005852. doi:10.1371/journal.pcbi.1005852
Read more
A Bayesian Framework for Generalized Linear Mixed Modeling Identifies New Candidate Loci for Late-Onset Alzheimer's Disease.
Wang X, Philip VM, Ananda G, et al. A Bayesian Framework for Generalized Linear Mixed Modeling Identifies New Candidate Loci for Late-Onset Alzheimer’s Disease. Genetics. 2018;209(1):51-64. doi:10.1534/genetics.117.300673
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Estimation for restriction sites observed by optical mapping using reversible-jump Markov Chain Monte Carlo.
Lee JK, Dančík V, Waterman MS. Estimation for restriction sites observed by optical mapping using reversible-jump Markov Chain Monte Carlo. J Comput Biol. 1998;5(3):505-15. doi:10.1089/cmb.1998.5.505
Read more
Selection of first-line therapy in multiple sclerosis using risk-benefit decision analysis.
Bargiela D, Bianchi MT, Westover B, et al. Selection of first-line therapy in multiple sclerosis using risk-benefit decision analysis. Neurology. 2017;88(7):677-684. doi:10.1212/WNL.0000000000003612
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Genomic Analysis of Lassa Virus during an Increase in Cases in Nigeria in 2018.
Siddle KJ, Eromon P, Barnes KG, et al. Genomic Analysis of Lassa Virus during an Increase in Cases in Nigeria in 2018. N Engl J Med. 2018;379(18):1745-1753. doi:10.1056/NEJMoa1804498
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Chromatin-state discovery and genome annotation with ChromHMM.
Ernst J, Kellis M. Chromatin-state discovery and genome annotation with ChromHMM. Nat Protoc. 2017;12(12):2478-2492. doi:10.1038/nprot.2017.124
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Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs.
Korn JM, Kuruvilla FG, McCarroll SA, et al. Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs. Nat Genet. 2008;40(10):1253-60. doi:10.1038/ng.237
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Conrad: gene prediction using conditional random fields.
DeCaprio D, Vinson JP, Pearson MD, Montgomery P, Doherty M, Galagan JE. Conrad: gene prediction using conditional random fields. Genome Res. 2007;17(9):1389-98. doi:10.1101/gr.6558107
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Resource partitioning and sympatric differentiation among closely related bacterioplankton.
Hunt DE, David LA, Gevers D, Preheim SP, Alm EJ, Polz MF. Resource partitioning and sympatric differentiation among closely related bacterioplankton. Science. 2008;320(5879):1081-5. doi:10.1126/science.1157890
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Fast and accurate inference of local ancestry in Latino populations.
Baran Y, Pasaniuc B, Sankararaman S, et al. Fast and accurate inference of local ancestry in Latino populations. Bioinformatics. 2012;28(10):1359-67. doi:10.1093/bioinformatics/bts144
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In March of 2020, ӳý converted a clinical genetics processing lab into a large-scale COVID-19 testing facility in less than two weeks.

We've screened more than 1,275 cancer cell lines as part of the Cancer Dependency Map (DepMap).

ӳý Genomics Platform sequences a whole human genome every four minutes.

More than 11,000 individuals living with cancer in the United States and Canada have partnered with Count Me In to share their experiences and help accelerate cancer research.

The Drug Repurposing Hub is one of the most comprehensive and up-to-date biologically annotated collections of FDA-approved compounds in the world. Researchers anywhere can explore more than 6,000 drugs in the hub and search for possible new uses for them to jump-start new drug discovery.

In 2021, our sustainability efforts sent more than 80 percent of waste from the Genomics Platform to either a recycling facility or to an incineration plant that generates electricity.

Through ӳý's Scientists in the Classroom program, ӳý researchers visit every 8th grade classroom in Cambridge each year to talk about genetics and evolution.

Every summer, 18 high school students spend six weeks at ӳý working side-by-side with mentors on cutting-edge research.

In November 2022, ӳý’s Genomics Platform sequenced its 500,000th whole human genome, a mere four years after sequencing its 100,000th.

By the end of 2022, ӳý’s COVID-19 testing lab had processed more than 37 million tests.

Working with Addgene, ӳý has shared CRISPR genome-editing reagents with researchers at more than 3,200 institutions in 76 countries.

The NeuroGAP-Psychosis project, a collaboration between the Stanley Center for Psychiatric Research and Harvard T.H. Chan School of Public Health to study the genetics of severe mental illness, has recruited more than 42,000 participants in Ethiopia, Kenya, Uganda, and South Africa.

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