Genome-wide functional analysis using the barcode sequence alignment and statistical analysis (Barcas) tool

• Published in: BMC bioinformatics Vol. 17; no. Suppl 17; p. 475
• Main Authors: Mun, Jihyeob, Kim, Dong-Uk, Hoe, Kwang-Lae, Kim, Seon-Young
• Format: Journal Article
• Language: English
• Published: London BioMed Central 23.12.2016; BioMed Central Ltd
• Subjects: Algorithms; Animals; Bar codes; Bioinformatics; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; CRISPR-Cas Systems; Data Interpretation, Statistical; DNA sequencing; Genome; Genomics; Humans; Life Sciences; Mice; Microarrays; RNA, Small Interfering; Sequence Alignment - methods; Sequence Analysis, DNA - methods; Software; South Korea; Barcode sequencing; shRNA; sgRNA; Trie data structure based imperfect matching algorithm; Barcoded yeast deletion strains; Pooled library screen analysis
• ISSN: 1471-2105; 1471-2105
• DOI: 10.1186/s12859-016-1326-9

Background Pooled library screen analysis using shRNAs or CRISPR-Cas9 hold great promise to genome-wide functional studies. While pooled library screens are effective tools, erroneous barcodes can potentially be generated during the production of many barcodes. However, no current tools can distinguish erroneous barcodes from PCR or sequencing errors in a data preprocessing step. Results We developed the Barcas program, a specialized program for the mapping and analysis of multiplexed barcode sequencing (barcode-seq) data. For fast and efficient mapping, Barcas uses a trie data structure based imperfect matching algorithm which generates precise mapping results containing mismatches, shifts, insertions and deletions (indel) in a flexible manner. Barcas provides three functions for quality control (QC) of a barcode library and distinguishes erroneous barcodes from PCR or sequencing errors. It also provides useful functions for data analysis and visualization. Conclusions Barcas is an all-in-one package providing useful functions including mapping, data QC, library QC, statistical analysis and visualization in genome-wide pooled screens.