A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay
Author(s) -
MarkAnthony Bray,
Sigrun Gustafsdottir,
Mohammad Hossein Rohban,
Shantanu Singh,
Vebjorn Ljosa,
Katherine L Sokolnicki,
Joshua A. Bittker,
Nicole E. Bodycombe,
Vlado Dančík,
Thomas P. Hasaka,
Cindy Hon,
Melissa M. Kemp,
Kejie Li,
Deepika Walpita,
Mathias J. Wawer,
Todd R. Golub,
Stuart L. Schreiber,
Paul A. Clemons,
Alykhan F. Shamji,
Anne E. Carpenter
Publication year - 2017
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giw014
Subject(s) - painting , computer science , small molecule , computational biology , artificial intelligence , pattern recognition (psychology) , information retrieval , chemistry , biology , biochemistry , art , art history
Large-scale image sets acquired by automated microscopy of perturbed samples enable a detailed comparison of cell states induced by each perturbation, such as a small molecule from a diverse library. Highly multiplexed measurements of cellular morphology can be extracted from each image and subsequently mined for a number of applications.
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