| Literature DB >> 29790906 |
Jiaxing Lin1, Jeremy Gresham2, Tongrong Wang1, So Young Kim3, James Alvarez2,4, Jeffrey S Damrauer5, Scott Floyd2,4,6, Joshua Granek1,2,7, Andrew Allen1,7, Cliburn Chan1,7, Jichun Xie1,2,7, Kouros Owzar1,2,7.
Abstract
Summary: CRISPR-Cas9 and shRNA high-throughput sequencing screens have abundant applications for basic and translational research. Methods and tools for the analysis of these screens must properly account for sequencing error, resolve ambiguous mappings among similar sequences in the barcode library in a statistically principled manner, and be computationally efficient. Herein we present bcSeq, an open source R package that implements a fast and parallelized algorithm for mapping high-throughput sequencing reads to a barcode library while tolerating sequencing error. The algorithm uses a Trie data structure for speed and resolves ambiguous mappings by using a statistical sequencing error model based on Phred scores for each read. Availability and implementation: The package source code and an accompanying tutorial are available at http://bioconductor.org/packages/bcSeq/. Supplementary information: Supplementary data are available at Bioinformatics online.Mesh:
Substances:
Year: 2018 PMID: 29790906 PMCID: PMC6184561 DOI: 10.1093/bioinformatics/bty402
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937