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RNA interference (RNAi) screening is a state-of-the-art technology that enables the dissection of biological processes and disease-related phenotypes. The commercial availability of genome-wide, short hairpin RNA (shRNA) libraries has fueled interest in this area but the generation and analysis of these complex data remain a challenge. Here, we describe complete experimental protocols and novel open source computational methodologies, shALIGN and shRNAseq, that allow RNAi screens to be rapidly deconvoluted using next generation sequencing. Our computational pipeline offers efficient screen analysis and the flexibility and scalability to quickly incorporate future developments in shRNA library technology.

Original publication

DOI

10.1186/gb-2011-12-10-r104

Type

Journal article

Journal

Genome Biol

Publication Date

21/10/2011

Volume

12

Keywords

Algorithms, Base Sequence, Computational Biology, Gene Library, Genetic Vectors, HEK293 Cells, Humans, Lentivirus, Plasmids, RNA Interference, RNA, Small Interfering, Reproducibility of Results, Sensitivity and Specificity, Sequence Alignment, Sequence Analysis, RNA, Transfection, User-Computer Interface