publication . Article . 2014

edgeR: a versatile tool for the analysis of shRNA-seq and CRISPR-Cas9 genetic screens.

Zhiyin Dai; Julie M. Sheridan; Linden J. Gearing; Darcy L. Moore; Shian Su; Sam Wormald; Stephen Wilcox; Liam O'Connor; Ross A. Dickins; Marnie E. Blewitt; ...
Open Access English
  • Published: 01 Oct 2014 Journal: F1000Research, volume 3 (eissn: 2046-1402, Copyright policy)
  • Publisher: F1000Research
<ns4:p>Pooled library sequencing screens that perturb gene function in a high-throughput manner are becoming increasingly popular in functional genomics research. Irrespective of the mechanism by which loss of function is achieved, via either RNA interference using short hairpin RNAs (shRNAs) or genetic mutation using single guide RNAs (sgRNAs) with the CRISPR-Cas9 system, there is a need to establish optimal analysis tools to handle such data. Our open-source processing pipeline in edgeR provides a complete analysis solution for screen data, that begins with the raw sequence reads and ends with a ranked list of candidate genes for downstream biological validati...
free text keywords: Software Tool Article, Articles, Bioinformatics, Medicine, R, Science, Q, Biology, FASTQ format, Workflow, Genetic screen, CRISPR, Neuroscience, Ranking, Computational biology, Functional genomics, Normalization (statistics), Row
Funded by
NHMRC| Identification of novel epigenetic modifiers involved in neural stem cell function and glioblastoma
  • Funder: National Health and Medical Research Council (NHMRC) (NHMRC)
  • Project Code: 1059622
  • Funding stream: Project Grants
NHMRC| Statistical methods for next-generation genomics
  • Funder: National Health and Medical Research Council (NHMRC) (NHMRC)
  • Project Code: 1050661
  • Funding stream: Project Grants
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