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BMC Bioinformatics DOI:10.1186/1471-2105-9-482

CellProfiler Analyst: data exploration and analysis software for complex image-based screens.

Publication TypeJournal Article
Year of Publication2008
AuthorsJones, TR, Kang, IHan, Wheeler, DB, Lindquist, RA, Papallo, A, Sabatini, DM, Golland, P, Carpenter, AE
JournalBMC Bioinformatics
Volume9
Pages482
Date Published2008 Nov 15
ISSN1471-2105
KeywordsArtificial Intelligence, Cells, Computational Biology, Image Processing, Computer-Assisted, Phenotype, Software
Abstract

BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment.

RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments.

CONCLUSION: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.

URLhttp://www.biomedcentral.com/1471-2105/9/482
DOI10.1186/1471-2105-9-482
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/19014601?dopt=Abstract

Alternate JournalBMC Bioinformatics
PubMed ID19014601
PubMed Central IDPMC2614436
Grant ListR01 AI047389 / AI / NIAID NIH HHS / United States
DK070069-01 / DK / NIDDK NIH HHS / United States
R01 GM0725555 / GM / NIGMS NIH HHS / United States
T90 DK070069 / DK / NIDDK NIH HHS / United States
T32 GM007739 / GM / NIGMS NIH HHS / United States