PT  - JOURNAL ARTICLE
AU  - Chunxuan Shao
AU  - Frank Westermann
AU  - Thomas Höfer
TI  - Synlet: an R package for systemically analyzing synthetic lethal RNA interference screen data
AID  - 10.1101/043570
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 043570
4099  - http://biorxiv.org/content/early/2016/03/15/043570.short
4100  - http://biorxiv.org/content/early/2016/03/15/043570.full
AB  - Summary High-throughput synthetic lethal RNA interference (RNAi) screen experiments shed important insights on the filed of cancer researches and drug discovery, but a comprehensive software for analyzing the data was not available yet. We present synlet, an R package provided a complete pipeline to process the synthetic lethal RNAi screens data. Synlet provides several methods to access the screen quality, including Z’ factor and data visualization. B-score and fraction of control or samples normalization methods are implemented in the package. More importantly, synlet facilitates the process of hits selection by implementing several algorithms, providing the possibility to identify high confidence targets.Availability The source code is freely available in Bioconductor (http://bioconductor.org/).Contact c.shao{at}Dkfz-Heidelberg.de