About
“The Library of Integrated Network-Based Cellular Signatures (LINCS) L1000 project has collected gene expression profiles for thousands of perturbagens at a variety of time points, doses, and cell lines. A full list of the chemical and genetic perturbations used can be found on the CLUE website along with their descriptions.“
See http://www.lincsproject.org/LINCS/tools/workflows/find-the-best-place-to-obtain-the-lincs-l1000-data for further detail.
“The NIH Common Fund’s Library of Integrated Network-based Cellular Signatures (LINCS) program 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.“
“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. More information about the LINCS project is at http://lincsproject.org.“
Excerpted from https://clue.io/lincs.
Selected Paper
See list of applied research citing LINCS at http://lincsproject.org/LINCS/publications.
How to Cite
The NIH Common Fund’s Library of Integrated Network-based Cellular Signatures (LINCS) program 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. All LINCS funded L1000 data, which is used to populate the Connectivity Map (CMap) dataset, are deposited into the NCBI Gene Expression Omnibus.
The data used for the analyses described in this manuscript were obtained from the NCBI GEO FTP server and staged to dedicated shared storage at UAB in order to better facilitate researcher access to important public data. These locally hosted data are documented and supported by the Department of Biomedical Informatics and Data Science U-BRITE team and infrastructure.
