mmquant: how to count multi-mapping reads?

• Main Author: Matthias Zytnicki
• Format: Article
• Language: English
• Published: BMC 2017-09-01
• Series: BMC Bioinformatics
• Subjects: RNA-Seq; Quantification; Multi-mapping reads
• Online Access: http://link.springer.com/article/10.1186/s12859-017-1816-4

Abstract Background RNA-Seq is currently used routinely, and it provides accurate information on gene transcription. However, the method cannot accurately estimate duplicated genes expression. Several strategies have been previously used (drop duplicated genes, distribute uniformly the reads, or estimate expression), but all of them provide biased results. Results We provide here a tool, called mmquant, for computing gene expression, included duplicated genes. If a read maps at different positions, the tool detects that the corresponding genes are duplicated; it merges the genes and creates a merged gene. The counts of ambiguous reads is then based on the input genes and the merged genes. Conclusion mmquant is a drop-in replacement of the widely used tools htseq-count and featureCounts that handles multi-mapping reads in an unabiased way.