Improving RNA-Seq Precision with MapAl
- Boku Univ. Vienna (Austria). Dept. of Biotechnology; DOE/OSTI
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Environmental Molecular Sciences Lab.
- Boku Univ. Vienna (Austria). Dept. of Biotechnology; Univ. of Warwick, Coventry (United Kingdom). School of Life Sciences
With currently available RNA-Seq pipelines, expression estimates for most genes are very noisy. We here introduce MapAl, a tool for RNA-Seq expression profiling that builds on the established programs Bowtie and Cufflinks. In the post-processing of RNA-Seq reads, it incorporates gene models already at the stage of read alignment, increasing the number of reliably measured known transcripts consistently by 50%. Adding genes identified de novo then allows a reliable assessment of double the total number of transcripts compared to other available pipelines. This substantial improvement is of general relevance: Measurement precision determines the power of any analysis to reliably identify significant signals, such as in screens for differential expression, independent of whether the experimental design incorporates replicates or not.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1629070
- Journal Information:
- Frontiers in Genetics, Journal Name: Frontiers in Genetics Vol. 3; ISSN 1664-8021
- Publisher:
- Frontiers Media S.A.Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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