Announcements

LINCS Consortium Meeting

Mark your calendars for the upcoming LINCS Consortium Face-to-Face Meeting that will be held on September 19-20, 2016 at the NIH Campus in Bethesda, MD. #LINCSDATA

Upcoming LINCS Data Science Research Webinars

November 29, 2016Dynamic Logic-Based Models Integrating Cardiac Signaling Networks and Cellular Phenotypes (Jeff Saucerman PhD | University of Virginia, BD2K-LINCS DCIC External Data Science Research Project) Details

Connectivity Map Challenge 1

The LINCS Center for Transcriptomics, in partnership with the Crowd Innovation Lab at Harvard Business School, launched their first challenge, “Infer the Transcriptome”. Contestants were provided with a large dataset of ~100,000 gene expression profiles on which to train an inference model. Models were scored based on their accuracy in predicting gene expression values for non-landmark genes in a separate test dataset. Leaderboard

New Release of Metadata Standards

The Data Standards page has been updated to reflect the most recent standards releases in LINCS Production Phase 2.

Editorial: Reproducibility will only come with data liberation

In a recent editorial in Science Translational Medicine, Mohammed AlQuraishi and Peter Sorger from the HMS LINCS Center make the case for improving accessibility and usability of published experimental data of all data types. Read More

NIH LINCS Program on Social Media

Follow the NIH LINCS Program on YouTube and on Twitter for information on the consortium’s latest news, data releases, and tools!

The LINCS Consortium

LINCS aims to create a network-based understanding of biology by cataloging changes in gene expression and other cellular processes that occur when cells are exposed to a variety of perturbing agents, and by using computational tools to integrate this diverse information into a comprehensive view of normal and disease states that can be applied for the development of new biomarkers and therapeutics. By generating and making public data that indicates how cells respond to various genetic and environmental stressors, the LINCS project will help us gain a more detailed understanding of cell pathways and aid efforts to develop therapies that might restore perturbed pathways and networks to their normal states.

The LINCS website is a source of information for the research community and general public about the LINCS project. The website contains details about the assays, cell types, and perturbagens currently part of the library, as well as links to participating sites, the data releases from the sites, and software that can be used for analyzing the data.