• Medientyp: E-Artikel
  • Titel: caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens
  • Beteiligte: Winter, Jan; Breinig, Marco; Heigwer, Florian; Brügemann, Dirk; Leible, Svenja; Pelz, Oliver; Zhan, Tianzuo; Boutros, Michael
  • Erschienen: Oxford University Press (OUP), 2016
  • Erschienen in: Bioinformatics
  • Sprache: Englisch
  • DOI: 10.1093/bioinformatics/btv617
  • ISSN: 1367-4811; 1367-4803
  • Schlagwörter: Computational Mathematics ; Computational Theory and Mathematics ; Computer Science Applications ; Molecular Biology ; Biochemistry ; Statistics and Probability
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  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>Motivation: Genetic screens by CRISPR/Cas9-mediated genome engineering have become a powerful tool for functional genomics. However, there is currently a lack of end-to-end software pipelines to analyze CRISPR/Cas9 screens based on next generation sequencing.</jats:p> <jats:p>Results: The CRISPR-AnalyzeR for pooled screens (caRpools) is an R package for exploratory data analysis that provides a complete workflow to analyze CRISPR/Cas9 screens. To further support the analysis of large-scale screens, caRpools integrates screening documentation and generation of standardized analysis reports.</jats:p> <jats:p>Availability and implementation: caRpools, manuals and an open virtual appliance are available at http://github.com/boutroslab/caRpools.</jats:p> <jats:p>Contact:  m.boutros@dkfz.de</jats:p>
  • Zugangsstatus: Freier Zugang