DocumentCode
724829
Title
Infering an ontology of single cell motions from high-throughput microscopy data
Author
Sebag, Alice Schoenauer ; Plancade, Sandra ; Raulet-Tomkiewicz, Celine ; Barouki, Robert ; Vert, Jean-Philippe ; Walter, Thomas
Author_Institution
CBIO-Centre for Comput. Biol., PSL-Res. Univ., France
fYear
2015
fDate
16-19 April 2015
Firstpage
160
Lastpage
163
Abstract
Cellular motility is a fundamental biological process. Progress in the fields of gene silencing and high-throughput (HT) microscopy provide us with the tools to study its molecular basis and potential perturbators. The primary contribution of this paper is to present MotIW, a generic workflow for single cell motility study in HT time-lapse screening data. We successfully apply it to a simulated screen, as well as a genome-wide screen. Furthermore, MotIW enables the identification of eigth motility patterns into which all trajectories from this dataset divide up into, without any prior model of cell motion.
Keywords
biological techniques; biology computing; cell motility; cellular biophysics; data mining; genomics; microscopy; HT time-lapse screening data; MotIW; biological process; cell motility pattern identification; cell motion model; gene silencing; generic workflow; genome-wide screen; high-throughput microscopy data; molecular basis; potential perturbator; single cell motility study; single cell motion ontology; Bioinformatics; Feature extraction; Genomics; Motion pictures; Tracking; Trajectory; Videos; High-content (high-throughput) screening; data mining; pattern recognition and classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location
New York, NY
Type
conf
DOI
10.1109/ISBI.2015.7163840
Filename
7163840
Link To Document