The goal of our LINCS Data Coordination and Integration Center (DCIC) is to lower barriers to LINCS. We propose to support a compute infrastructure that makes it possible to aggregate and analyze all perturbational data (LINCS and non-LINCS) in a cost effective and scalable manner. In addition we will make those analytical capabilities accessible to a broad range of users from disparate scientific backgrounds including bench biologists, big data scientists, and software developers.

Public Health Relevance

The LINCS program is putting into motion a large-scale effort to generate perturbational profiles of representing a breadth of cell types, perturbagen and read-outs of cellular state. The challenge now is to maximize the impact of that data generation investment by catalyzing the research community's interaction with the data, if this is successful, the biomedical impact will be enormous. For the computational community, democratizing access to LINCS data will allow unprecedented engagement in biomedical research. For basic biologists, LINCS data analysis will provide a new lens with which to understand molecular function and cellular processes. And for drug developers and clinical investigators, the LINCS lens represents a powerful new approach to comprehensively understanding not only the effects of therapeutics against intended targets, but also their toxicity-inducing off-target effects. If sch LINCS approaches become routine, this would represent a fundamentally new paradigm for biology research and therapeutic development.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HG008699-02
Application #
9096857
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Pillai, Ajay
Project Start
2015-06-24
Project End
2020-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Broad Institute, Inc.
Department
Type
DUNS #
623544785
City
Cambridge
State
MA
Country
United States
Zip Code
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Corsello, Steven M; Bittker, Joshua A; Liu, Zihan et al. (2017) The Drug Repurposing Hub: a next-generation drug library and information resource. Nat Med 23:405-408
Subramanian, Aravind; Narayan, Rajiv; Corsello, Steven M et al. (2017) A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles. Cell 171:1437-1452.e17