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    A scaling normalization method for differential expression analysis of RNA-seq data

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    Author
    Robinson, MD; Oshlack, A
    Date
    2010-01-01
    Source Title
    Genome Biology
    Publisher
    BIOMED CENTRAL LTD
    University of Melbourne Author/s
    Oshlack, Alicia
    Affiliation
    School of Physics
    Metadata
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    Document Type
    Journal Article
    Citations
    Robinson, M. D. & Oshlack, A. (2010). A scaling normalization method for differential expression analysis of RNA-seq data. GENOME BIOLOGY, 11 (3), https://doi.org/10.1186/gb-2010-11-3-r25.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/256935
    DOI
    10.1186/gb-2010-11-3-r25
    Abstract
    The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA. In order to discover biologically important changes in expression, we show that normalization continues to be an essential step in the analysis. We outline a simple and effective method for performing normalization and show dramatically improved results for inferring differential expression in simulated and publicly available data sets.

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