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Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates

bioRxiv

Nov 24, 2014

Andreas TuerkSerhat Güler

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Abstract

Quantification of RNA transcripts with RNA-Seq is inaccurate due to positional fragment bias, which is not represented appropriately by current statistical models of RNA-Seq data. This article introduces the Mix2 (rd. "mixquare") model, which uses a mixture of probability distributions ...read more

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Computer Software
probe gene fragment
RNA
Brain
Research Study
Health Care Quality Control
Transcript
Protein Expression
Real-Time Polymerase Chain Reaction
17
2
5
Paper Details
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  • Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates

    bioRxiv

    Nov 24, 2014

    Andreas TuerkSerhat Güler

    PMID: 990011767

    DOI: 10.1101/011767

    Abstract

    Quantification of RNA transcripts with RNA-Seq is inaccurate due to positional fragment bias, which is not represented appropriately by current statistical models of RNA-Seq data. This article introduces the Mix2 (rd. "mixquare") model, which uses a mixture of probability distributions ...read more

    Mentioned in this Paper

    Computer Software
    probe gene fragment
    RNA
    Brain
    Research Study
    17
    2
    5
    Paper Details
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