| Chapter title |
Pooled ShRNA Screenings: Computational Analysis.
|
|---|---|
| Chapter number | 22 |
| Book title |
Pancreatic Cancer
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-287-2_22 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-286-5, 978-1-62703-287-2
|
| Authors |
Jiyang Yu, Preeti Putcha, Andrea Califano, Jose M. Silva, Yu, Jiyang, Putcha, Preeti, Califano, Andrea, Silva, Jose M. |
| Abstract |
Genome-wide RNA interference screening has emerged as a powerful tool for functional genomic studies of disease-related phenotypes and the discovery of molecular therapeutic targets for human diseases. Commercial short hairpin RNA (shRNA) libraries are commonly used in this area, and state-of-the-art technologies including microarray and next-generation sequencing have emerged as powerful methods to analyze shRNA-triggered phenotypes. However, computational analysis of this complex data remains challenging due to noise and small sample size from such large-scaled experiments. In this chapter we discuss the pipelines and statistical methods of processing, quality assessment, and post-analysis for both microarray- and sequencing-based screening data. |
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