An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening

Abstract

In this paper, we describe an integrated data analysis pipeline for identifying and predicting genetic interactions based on cellular responses to perturbations of single- and multiple-agents. This pipeline was developed in the context of genome wide single-RNAi screens and smaller scale double-RNAi screens using Drosophila KC-167 cell lines, with the aim to reconstruct the molecular pathways regulating changes in cell shape. The TACC (Texas Advanced Computing Center) under XSEDE framework allocated 100,000 service unites (SUs) from its Stampede system to facilitate image quantification and signaling pathway modeling using fluorescence images of Drosophila cells, and recently a kinome-wide single RNAi screening has been reported [1].

DOI: 10.1145/2616498.2616513

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@inproceedings{Yin2014AnIA, title={An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening}, author={Zhengqin Yin and Fuhai Li and Stephen T. C. Wong}, booktitle={XSEDE}, year={2014} }