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      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 Ó³»­´«Ã½ 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.
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      1. Art and science connection Explore the connection between art and science and how we bring together artists and Ó³»­´«Ã½ scientists through our artist-in-residence program, gallery exhibitions, and ongoing public conversations.
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Highly sensitive and specific detection of rare variants in mixed viral populations from massively parallel sequence data.
Macalalad AR, Zody MC, Charlebois P, et al. Highly sensitive and specific detection of rare variants in mixed viral populations from massively parallel sequence data. PLoS Comput Biol. 2012;8(3):e1002417. doi:10.1371/journal.pcbi.1002417
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Efficiency and power as a function of sequence coverage, SNP array density, and imputation.
Flannick J, Korn JM, Fontanillas P, et al. Efficiency and power as a function of sequence coverage, SNP array density, and imputation. PLoS Comput Biol. 2012;8(7):e1002604. doi:10.1371/journal.pcbi.1002604
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Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples.
Cibulskis K, Lawrence MS, Carter SL, et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol. 2013;31(3):213-9. doi:10.1038/nbt.2514
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Shotgun protein sequencing with meta-contig assembly.
Guthals A, Clauser KR, Bandeira N. Shotgun protein sequencing with meta-contig assembly. Mol Cell Proteomics. 2012;11(10):1084-96. doi:10.1074/mcp.M111.015768
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Magnetic barcode assay for genetic detection of pathogens.
Liong M, Hoang AN, Chung J, et al. Magnetic barcode assay for genetic detection of pathogens. Nat Commun. 2013;4:1752. doi:10.1038/ncomms2745
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Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.
Skates SJ, Gillette MA, LaBaer J, et al. Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies. J Proteome Res. 2013;12(12):5383-94. doi:10.1021/pr400132j
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Comprehensive variation discovery in single human genomes.
Weisenfeld NI, Yin S, Sharpe T, et al. Comprehensive variation discovery in single human genomes. Nat Genet. 2014;46(12):1350-5. doi:10.1038/ng.3121
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Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing.
Ziller MJ, Hansen KD, Meissner A, Aryee MJ. Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing. Nat Methods. 2015;12(3):230-2, 1 p following 232. doi:10.1038/nmeth.3152
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Programmable probiotics for detection of cancer in urine.
Danino T, Prindle A, Kwong GA, et al. Programmable probiotics for detection of cancer in urine. Sci Transl Med. 2015;7(289):289ra84. doi:10.1126/scitranslmed.aaa3519
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Biomarkers in multiple sclerosis.
Housley WJ, Pitt D, Hafler DA. Biomarkers in multiple sclerosis. Clin Immunol. 2015;161(1):51-8. doi:10.1016/j.clim.2015.06.015
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Ó³»­´«Ã½'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 Ó³»­´«Ã½ are powering nearly 20 clinical trials from companies testing new treatments for diseases like cancer and heart disease.

Ó³»­´«Ã½ 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 Ó³»­´«Ã½â€™s Rare Genomes Project has worked with more than 1,300 families from all 50 U.S. states to diagnose rare genetic diseases.

Ó³»­´«Ã½ Clinical Labs has directly partnered with tens of thousands of cancer patients to analyze their DNA and accelerate research.

During the COVID-19 pandemic, Ó³»­´«Ã½ launched a large-scale diagnostic testing lab that processed over 37 million tests and saved state and federal programs nearly $2 billion.

The Ó³»­´«Ã½'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 Ó³»­´«Ã½ with NIH funding, has contributed to over 13 million genetic disease diagnoses since its launch in 2014.

Datasets generated at the Ó³»­´«Ã½ 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 Ó³»­´«Ã½ 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 Ó³»­´«Ã½ research is shedding new light on the biological roots of many diseases, including Alzheimer’s, Parkinson’s, and Huntington’s disease.

Scientists with Ó³»­´«Ã½â€™s Stanley Center for Psychiatric Research have found key genetic factors for schizophrenia and bipolar disorder.

Ó³»­´«Ã½ 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.

Ó³»­´«Ã½ Clinical Labs has sequenced nearly 900,000 whole human genomes, producing, on average, one human genome sequence every three minutes.

Ó³»­´«Ã½ Clinical Labs developed a new method for genome sequencing that costs 75 percent less than existing methods.

 Ó³»­´«Ã½ Clinical Labs is the largest genome sequencing center of its kind in the world.

Ó³»­´«Ã½ Clinical Labs has partnered with MyOme and Southern Research Institute in Birmingham, Alabama to provide free genetic tests to people in Alabama.

Ó³»­´«Ã½ 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.

Ó³»­´«Ã½ 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, Ó³»­´«Ã½ 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.

Ó³»­´«Ã½ 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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