ӳý

Skip to main content
Home

Top menu

  • Careers
Search
  • ӳý
      1. This is ӳý Learn about our mission, our values, our history, and partner institutions.
      2. People Meet our members, staff scientists, fellows, leadership, and other ӳýies.
      3. Join ӳý Find out how to join the ӳý as an employee or associate member.
      4. Contact us Find our contact information, directions to our buildings, and directory.
  • Research
      1. Disease areas ӳý brings people together to advance the understanding and treatment of disease.
        1. Items Wpapp col
          • Brain Health
          • Cancer
          • Cardiovascular disease
          • Chronic disease
          • Diabetes
          • Infectious disease and microbiome
          • Kidney disease
          • Obesity
          • Rare disease
      2. Research areas Through programs spanning genetics, biology, artificial intelligence (AI), and therapeutic development, ӳý researchers are making discoveries that drive biomedical science forward.
        1. Items Wpapp col
          • AI and machine learning
          • Chemical biology and therapeutics science
          • Drug discovery
          • Genome regulation, cellular circuitry, and epigenomics
          • Immunology
          • Medical and population genetics
          • Metabolism
      3. Technology areas Our researchers use their expertise in creating, adapting, and applying a variety of technologies to enable science here and beyond.
        1. Items Wpapp col
          • Data sciences
          • Genetic perturbation
          • Genomics
          • Imaging
          • Metabolomics
          • Proteomics
          • Spatial technologies
      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.
      6. Visit ӳý Come see what ӳý is all about.
  • News
      1. News and insights Learn about breakthroughs from ӳý scientists.
        1. Column
      2. Press room Contact our media relations team.
        1. Column
      3. Sign up for our newsletter Receive regular updates on ӳý news, research and community.
  • Careers
  • Search
Whole-Genome Analysis Illustrates Global Clonal Population Structure of the Ubiquitous Dermatophyte Pathogen .
Persinoti GF, Martinez DA, Li W, et al. Whole-Genome Analysis Illustrates Global Clonal Population Structure of the Ubiquitous Dermatophyte Pathogen . Genetics. 2018;208(4):1657-1669. doi:10.1534/genetics.117.300573
Read more
CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network.
Aksoy BA, Dančík V, Smith K, et al. CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network. Database (Oxford). 2017;2017. doi:10.1093/database/bax054
Read more
PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data.
Hsu YHH, Churchhouse C, Pers TH, et al. PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. PLoS Comput Biol. 2019;15(1):e1006734. doi:10.1371/journal.pcbi.1006734
Read more
Ultrasome: efficient aberration caller for copy number studies of ultra-high resolution.
Nilsson B, Johansson M, Al-Shahrour F, Carpenter AE, Ebert BL. Ultrasome: efficient aberration caller for copy number studies of ultra-high resolution. Bioinformatics. 2009;25(8):1078-9. doi:10.1093/bioinformatics/btp091
Read more
The Ensembl computing architecture.
Cuff JA, Coates GMP, Cutts TJR, Rae M. The Ensembl computing architecture. Genome Res. 2004;14(5):971-5. doi:10.1101/gr.1866304
Read more
Three-dimensional genome architecture influences partner selection for chromosomal translocations in human disease.
Engreitz JM, Agarwala V, Mirny LA. Three-dimensional genome architecture influences partner selection for chromosomal translocations in human disease. PLoS One. 2012;7(9):e44196. doi:10.1371/journal.pone.0044196
Read more
Extracting data from the muck: deriving biological insight from complex microbial communities and non-model organisms with next generation sequencing.
Solomon KV, Haitjema CH, Thompson DA, O’Malley MA. Extracting data from the muck: deriving biological insight from complex microbial communities and non-model organisms with next generation sequencing. Curr Opin Biotechnol. 2014;28:103-10. doi:10.1016/j.copbio.2014.01.007
Read more
CRISPRseek: a bioconductor package to identify target-specific guide RNAs for CRISPR-Cas9 genome-editing systems.
Zhu LJ, Holmes BR, Aronin N, Brodsky MH. CRISPRseek: a bioconductor package to identify target-specific guide RNAs for CRISPR-Cas9 genome-editing systems. PLoS One. 2014;9(9):e108424. doi:10.1371/journal.pone.0108424
Read more
The extracellular matrix: Tools and insights for the "omics" era.
Naba A, Clauser KR, Ding H, Whittaker CA, Carr SA, Hynes RO. The extracellular matrix: Tools and insights for the "omics" era. Matrix Biol. 2016;49:10-24. doi:10.1016/j.matbio.2015.06.003
Read more
Reclassification of genetic-based risk predictions as GWAS data accumulate.
Krier J, Barfield R, Green RC, Kraft P. Reclassification of genetic-based risk predictions as GWAS data accumulate. Genome Med. 2016;8(1):20. doi:10.1186/s13073-016-0272-5
Read more

Pagination

  • Previous page ‹Ĺ
  • Page 1
  • Page 2
  • Page 3
  • …
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Current page 9
  • Page 10
  • Page 11
  • Page 12
  • Page 13
  • …
  • Next page ›ĺ

Address

Merkin Building
415 Main St.
Cambridge, MA 02142

Follow Us

Home

Sign up for our newsletter

Did you know?

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.

Footer menu

  • Report a concern
  • Contact Us
  • Privacy Policy

© ӳý 2025