The National Institutes of Health Library of Integrated Network-based Cellular Signatures (LINCS) program is generating extensive multidimensional data sets, including biochemical, genome-wide transcriptional, and phenotypic cellular response signatures to a variety of small-molecule and genetic perturbations with the goal of creating a sustainable, widely applicable, and readily accessible systems biology knowledge resource. Integration and analysis of diverse LINCS data sets depend on the availability of sufficient metadata to describe the assays and screening results and on their syntactic, structural, and semantic consistency.
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Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS) by Uma D. Vempati, Caty Chung, Chris Mader, Amar Koleti, Nakul Datar, Dušica Vidović, David Wrobel, Sean Erickson, Jeremy L. Muhlich, Gabriel Berriz, Cyril H. Benes, Aravind Subramanian, Ajay Pillai, Caroline E. Shamu, and Stephan C. Schürer. First Published February 11, 2014 https://doi.org/10.1177/1087057114522514