BioinformaticsBioinformaticsPeer-reviewed journal article
CoCo: RNA-seq Read Assignment Correction for Nested Genes and Multimapped Reads
Gabrielle Deschamps-FrancoeuriD, Vincent BoiviniD, Sherif Abou ElelaiD, Michelle S. ScottiD
Abstract
MotivationNext generation sequencing techniques revolutionized the study of RNA expression by permitting whole transcriptome analysis. However, sequencing reads generated from nested and multi-copy genes are often either misassigned or discarded, which greatly reduces both quantification accuracy and gene coverage.\n\nResultsHere we present CoCo, a read assignment pipeline that takes into account the multitude of overlapping and repetitive genes in the transcriptome of higher eukaryotes. CoCo uses a modified annotation file that highlights nested genes and proportionally distributes multimapped reads between repeated sequences. CoCo salvages over 15% of discarded aligned RNA-seq reads and significantly changes the abundance estimates for both coding and non-coding RNA as validated by PCR and bed-graph comparisons.\n\nAvailabilityThe CoCo software is an open source package written in Python and available from http://gitlabscottgroup.med.usherbrooke.ca/scott-group/coco.\n\nContactmichelle.scott@usherbrooke.ca
- assay: bulk RNA-seq
- research focus: variant calling
- research focus: differential expression
- approach: statistical model
- Citations
- 54
- FWCI
- 2.90
- Field percentile
- top 8%
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