The versatility of high-content high-throughput time-lapse screening data : developing generic methods for data re-use and comparative analyses

Abstract : Biological screens test large sets of experimental conditions with respect to their specific biological effect on living systems. Technical and computational progresses have made it possible to perform such screens at a large scale - up to hundreds of thousands of experiments. Live cell imaging is an excellent tool to study in detail the consequences of chemical perturbation on a given biological process. However, the analysis of live cell screens demands the combination of robust computer vision methods, efficient statistical methods for the detection of significant effects and robust procedures for quality control. This thesis addresses these challenges by developing analytical methods for the analysis of High Throughput time-lapse microscopy screening data. The developed frameworks are applied to publicly available HCS data, demonstrating their applicability and the benefits of HCS data remining. The first multivariate workflow for the study of single cell motility in such large-scale data is detailed in Chapter 2. Chapter 3 presents this workflow application to previously published data, and the development of a new distance for drug target inference by in silico comparisons of parallel siRNA and drug screens. Finally, chapter 4 presents a complete methodological pipeline for performing HT time-lapse screens in Environmental Toxicology.
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Alice Schoenauer Sebag. The versatility of high-content high-throughput time-lapse screening data : developing generic methods for data re-use and comparative analyses. Other. Ecole Nationale Supérieure des Mines de Paris, 2015. English. ⟨NNT : 2015ENMP0035⟩. ⟨tel-01297853⟩

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