Publication: Rcount: simple and flexible RNA-Seq read counting
Rcount: simple and flexible RNA-Seq read counting
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Schmid, M. W., & Grossniklaus, U. (2015). Rcount: simple and flexible RNA-Seq read counting. Bioinformatics, 31(3), 436–437. https://doi.org/10.1093/bioinformatics/btu680
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SUMMARY: Analysis of differential gene expression by RNA sequencing (RNA-Seq) is frequently done using feature counts, i.e. the number of reads mapping to a gene. However, commonly used count algorithms (e.g. HTSeq) do not address the problem of reads aligning with multiple locations in the genome (multireads) or reads aligning with positions where two or more genes overlap (ambiguous reads). Rcount specifically addresses these issues. Furthermore, Rcount allows the user to assign priorities to certain feature types (e.g. higher prior
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- Schmid, Marc W
- Grossniklaus, Ueli
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Schmid, M. W., & Grossniklaus, U. (2015). Rcount: simple and flexible RNA-Seq read counting. Bioinformatics, 31(3), 436–437. https://doi.org/10.1093/bioinformatics/btu680
