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Data, Software and Tools (archival)

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ӳ��ý's gene-editing technologies—CRISPR-Cas9, base editing, and prime editing—are being tested in more than 25 clinical trials to treat or cure leukemias, rare genetic diseases, high cholesterol, and other conditions.

NIH-funded discoveries from the ӳ��ý are powering nearly 20 clinical trials from companies testing new treatments for diseases like cancer and heart disease.

ӳ��ý developed a technology — partly supported by NIH funding — that can detect trace amounts of cancer DNA from blood tests and help cancer patients find out their risk of disease recurrence earlier.

Using NIH funding, the ӳ��ý’s Rare Genomes Project has worked with more than 1,300 families from all 50 U.S. states to diagnose rare genetic diseases.

ӳ��ý Clinical Labs has directly partnered with tens of thousands of cancer patients to analyze their DNA and accelerate research.

During the COVID-19 pandemic, ӳ��ý launched a large-scale diagnostic testing lab that processed over 37 million tests and saved state and federal programs nearly $2 billion.

The ӳ��ý's Cancer Dependency Map helps cancer researchers and drug developers discover therapeutic targets for new cancer treatments.

gnomAD, a large human genetic variant reference database developed by the ӳ��ý with NIH funding, has contributed to over 13 million genetic disease diagnoses since its launch in 2014.

Datasets generated at the ӳ��ý were used to train AlphaGenome, a cutting-edge AI model from Google DeepMind that predicts how genetic variants affect gene regulation.

the FDA granted accelerated approval for a lung cancer drug that was developed with ӳ��ý science and is for patients who otherwise had few treatment options.

David Liu and his team used NIH funding to invent precise gene-editing technologies, including one that may vastly improve access to genetic therapies for patients with rare disease.

NIH-funded ӳ��ý research is shedding new light on the biological roots of many diseases, including Alzheimer’s, Parkinson’s, and Huntington’s disease.

Scientists with ӳ��ý’s Stanley Center for Psychiatric Research have found key genetic factors for schizophrenia and bipolar disorder.

ӳ��ý scientists are using AI to design new antibiotics and other drugs, predict drug toxicity, and pinpoint genes, molecules, and cells that might be causing disease.

ӳ��ý Clinical Labs has sequenced nearly 900,000 whole human genomes, producing, on average, one human genome sequence every three minutes.

ӳ��ý Clinical Labs developed a new method for genome sequencing that costs 75 percent less than existing methods.

ӳ��ý Clinical Labs is the largest genome sequencing center of its kind in the world.

ӳ��ý Clinical Labs has partnered with MyOme and Southern Research Institute in Birmingham, Alabama to provide free genetic tests to people in Alabama.

ӳ��ý Clinical Labs has partnered with Mass General Brigham and Everygene to provide no-cost genetic testing to people throughout the US with cardiomyopathy, a disorder that can cause sudden cardiac death.

ӳ��ý Clinical labs and Mass General Brigham used data from NIH’s All of Us program to develop a genetic test that predicts risk of eight different heart conditions. This test is now available to patients.

Thanks to NIH funding, ӳ��ý Clinical Labs is collaborating with scientists across the U.S. to sequence DNA from tens of thousands of children with cancer and birth defects to study common biological pathways.

ӳ��ý Clinical Labs holds the world record for fastest DNA sequencing, completing whole genome sequencing and analysis in less than four hours at their facility in Burlington, Massachusetts.

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Affiliation
-ӳ��ý Trauma Initiative
-ӳ��ý Clinical Labs
-ӳ��ý Global Health Initiative
-ӳ��ý Summer Research Program
-ӳ��ý Summer Scholars Program
-Center for Integrated Solutions to Infectious Diseases
-Count Me In
-Director’s Perspectives
-Epigenomics
-Eric and Wendy Schmidt Center
-Erin Chen Lab
-Fei Chen Lab
-Gene Regulation Observatory
-Global Alliance for Genomics and Health
-Immunology Program
-Liu Lab
-Merkin Institute for Transformative Technologies in Healthcare
-NeuroDevelopmental Variability Initiative
-Novo Nordisk Foundation Center for Genomic Mechanisms of Disease
-Office of Inclusion, Diversity, Equity, and Allyship
-Optical Profiling Platform
-Peng Lab
-Sellers Lab
-Sheng Lab
-Stanley Global
-Uhler Lab
-Wang Lab
-Food Allergy Science Initiative (FASI)
-Gerstner Center for Cancer Diagnostics
-HCA
-NeuroGap
-Precision Cardiology Laboratory
-Center for the Development of Therapeutics
-Data Sciences Platform
-Cancer Program
-Carlos Slim Center for Health Research
-Cell Circuits Program
-Chemical Biology and Therapeutics Science Program
-Genetic Perturbation Platform
-Genomics Platform
-Imaging Platform
-Klarman Cell Observatory
-Medical and Population Genetics Program
-Metabolism Program
-Metabolomics Platform
-Infectious Disease and Microbiome Program
-Proteomics Platform
-Spatial Technology Platform
-Stanley Center for Psychiatric Research
-Blainey Lab
-Golub Lab
-Hung Lab
-Lander Lab
-Schreiber Lab
-Xavier Lab
-Zhang Lab
-Barrett Lab
Explainers
-Creating tools to generate data insights
-Delivering gene-based therapies
-Drug discovery
-Genomic epidemiology
-Machine learning
-Spatial -omics
-Industrial partnerships
-Human Cell Atlas: Reading biology
-Human Cell Atlas: International collaboration
-Human Cell Atlas: Data Coordination Platform
-Global Alliance for Genomics and Health
-Genomics Platform
-Gene editing
-Food allergies
-Drug Repurposing Hub
-Connecting variants to functions
-Cloud computing
-Cancer Dependency Map
-Blood biopsies
-Aggregating and harmonizing data
-Inflammatory bowel disease
-Licensing data, tools, and technologies
-Our culture
-Patients as partners
-Psychiatric disease
-Using genomics to predict disease risk
-Philanthropic partnerships
-SHERLOCK
-Single cell genomics
-Understanding kidney disease
Diseases
-Aging
-Inflammatory bowel disease
-Antibiotic resistance
-Autism
-Blood disorders
-Cancer
-Eating disorders
-Infectious Disease
-Liver Disease
-Metabolic Disease
-Microbiome
-Mitochondrial disease
-Muscular Disorders
-Neurodegeneration
-Neurodevelopmental conditions
-Skin disorders
-Trauma
-Coronavirus
-Cardiovascular disease
-Diabetes
-Obesity
-Heart Disease
-Immunological Disease
-Brain Health
-Rare Disease
-Kidney Disease
Technology/Topic
-Artificial intelligence
-Autoimmunity
-Blood Biopsy
-Genome regulation
-Metabolism
-Neuroscience
-Public health
-Single molecule
-Clinical genomics
-Clinical trials
-Data science
-Diagnostics
-Diversity, equity, inclusion and belonging
-DNA sequencing
-Drug discovery
-Gene therapy
-Gene-based therapy delivery
-Genotyping
-GWAS
-Imaging
-Immunology
-Machine Learning
-Metabolomics
-Newborn sequencing
-Pandemic preparedness
-Proteomics
-Public engagement
-RNA sequencing
-Spatial -omics
-Transcriptomics
-Whole Exome Sequencing
-Polygenetic scoring
-Licensing
-DepMap
-Cloud Computing
-Cell-Line Profiling
-Drug Repurposing Hub
-Gene-Expression Profiling
-CRISPR
-High-Throughput Screening
-Image-Based Profiling
-Mass Spectrometry
-Network Analysis
-RNAi
-Single Cell
-Small Molecules
-Therapeutics
-Synthetic biology
-Vertebrate biology
-Viral genomics
People
-Alex Bloemendal
-Alex Burgin
-Alex Shalek
-Alexandra-Chloé Villani
-Ana Anderson
-Andreas Gnirke
-Andrew Aguirre
-Angela Koehler
-Anna Greka
-Anne Carpenter
-Anne O'Donnell Luria
-Anthony Philippakis
-Arlene Sharpe
-Ashlee Earl
-Barbara Kahn
-Ben Deverman
-Ben Neale
-Beth Stevens
-Bronwyn MacInnis
-Bruce Birren
-Caroline Uhler
-Cathy Wu
-Cigall Kadoch
-Clary Clish
-Cotton Seed
-Cynthia Morton
-Daniel Graham
-David Root
-Deborah Hung
-Dyann Wirth
-Ed Scolnick
-Eliezer Van Allen
-Elise Robinson
-Emily Balskus
-Eric Alm
-Eric Banks
-Erin Chen
-Evan Macosko
-Fei Chen
-Gord Fishell
-Guoping Feng
-Hailiang Huang
-Heidi Rehm
-Jason Buenrostro
-Jen Pan
-Joel Hirschhorn
-John Doench
-Jose Florez
-Jose Florez
-Joshua Levin
-Karestan Koenen
-Kimberly Stegmaier
-Kristin Ardlie
-Laura Kiessling
-Mario Suvà
-Martin Aryee
-Matthew Meyerson
-Matthew Vander Heiden
-Melina Claussnitzer
-Michael Talkowski
-Miguel Rivera
-Morgan Sheng
-Niall Lennon
-Noam Shoresh
-Paola Arlotta
-Patrick Ellinor
-Paul Blainey
-Pratiti "Mimi" Bandopadhayay
-Sam Peng
-Sangeeta Bhatia
-Shamil Sunyaev
-Sheila Dodge
-Soumya Raychaudhuri
-Stacey Gabriel
-Steve Carr
-Vamsi Mootha
-Vijay Kuchroo
-William Hahn
-William Sellers
-Xiao Wang
-Brad Bernstein
-Jim Collins
-Paul Clemons
-Mark Daly
-Ben Ebert
-Gad Getz
-Todd Golub
-Nir Hacohen
-Steven Hyman
-Eric Lander
-David Liu
-Steve McCarroll
-Evan Rosen
-Pardis Sabeti
-Stuart Schreiber
-Feng Zhang
-Ramnik Xavier
News and Media
Scientific Areas
Services
Archive
-Sequencing
-ӳ��ý Technology Labs
-FAA
-MUC1
-Kevin Eggan
-Sekar Kathiresan
-Center of Excellence in Genomic Science
-Daniel MacArthur
-Genome Regulation, Cellular Circuitry and Epigenomics
-Aviv Regev
-Genome biology programs
-Genome regulation, cell circuitry, and epigenomics
-Genome Sequencing and Analysis Program
-Infectious Disease and Microbiome
-Aggregating Data
-Heiman Lab
-Regev Lab

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Data, Software and Tools (archival)

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