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].
Original language | English (US) |
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Title of host publication | Proceedings of the XSEDE 2014 Conference |
Subtitle of host publication | Engaging Communities |
Publisher | Association for Computing Machinery |
ISBN (Print) | 9781450328937 |
DOIs | |
State | Published - Jan 1 2014 |
Event | 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States Duration: Jul 13 2014 → Jul 18 2014 |
Other
Other | 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 |
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Country | United States |
City | Atlanta, GA |
Period | 7/13/14 → 7/18/14 |
Keywords
- Cell morphogenesis
- High content screening
- Perturbation response
- Reversible jump markov chain monte carlo
- RNAi
- Texas advanced computing center
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software