The 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.
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The LINCS Consortium

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. This website along with the LINCS Data Portal contains details about the assays, cell types, and perturbagens that are currently part of the library, as well as links to participating sites, data releases from the sites, and software that can be used for analyzing the data.

Featured Tools and Datasets

Recent Publications

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Featured LINCS Tools

Drug/Cell-line Browser
  • Cell State Data
  • Drug Binding Data
  • Data Analysis
  • Data Formatting
  • Data Integration
  • Data Visualization
  • Database
  • Documentation
  • Search Engine
  • Web-based
Drug/Cell-line Browser
DCB provides interactive visualization of cancer cell-line viability data
PAEA
  • Protein Data
  • Transcript Data
  • Data Analysis
  • Data Integration
  • Data Visualization
  • Network Analysis
  • Documentation
  • Web-based
PAEA
Enrichment analysis tool implementing the principal angle method
lncHUB2
  • Cell State Data
  • Drug Binding Data
  • Morphology Data
  • Protein Data
  • Transcript Data
  • Data Analysis
  • Data Integration
  • Data Storage
  • Data Visualization
  • Signature Generation
  • API
  • Ontology
  • Open Source
  • Provenance
  • Scripting
  • Search Engine
  • Web-based
lncHUB2
Functional predictions of human lncRNAs based on lncRNA-gene co-expression correlations
Multiomics2Target
  • Protein Data
  • Transcript Data
  • Data Analysis
  • Data Formatting
  • Data Integration
  • Data Visualization
  • Signature Generation
  • Documentation
  • Open Source
  • Scripting
  • Versioning
  • Web-based
Multiomics2Target
Discover cell surface and kinase targets for cohorts of cancer patients profiled with multi-omics
Enrichr
  • Cell State Data
  • Protein Data
  • Transcript Data
  • Data Analysis
  • Data Formatting
  • Data Integration
  • Data Storage
  • Data Visualization
  • Network Analysis
  • Signature Generation
  • API
  • Database
  • Documentation
  • Ontology
  • Open Source
  • Search Engine
  • Web-based
Enrichr
An intuitive web-based gene list enrichment analysis tool with 133 libraries
CREEDS
  • Transcript Data
  • Data Analysis
  • Data Documentation
  • Data Formatting
  • Data Integration
  • Data Storage
  • Data Visualization
  • Network Analysis
  • Signature Generation
  • API
  • Database
  • Documentation
  • Ontology
  • Search Engine
  • Web-based
CREEDS
Collections of processed gene, drug and disease signatures from GEO

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