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Model based normalization improves differential expression calling in low-depth RNA-seq

bioRxiv

Jan 15, 2015

Pavel ZakharovMaxim N. Artyomov

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Abstract

RNA-seq is a powerful tool for gene expression profiling and differential expression analysis. Its power depends on sequencing depth which limits its high-throughput potential, with 10-15 million reads considered as optimal balance between quality of differential expression calling and ...read more

Mentioned in this Paper

Gene Expression
Genetic Techniques
RNA
Genes
Nucleic Acid Sequencing
Gene Expression Profiling
Biologic Preservation
Protein Expression
Analysis
Sequencing
5
17
Paper Details
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  • Model based normalization improves differential expression calling in low-depth RNA-seq

    bioRxiv

    Jan 15, 2015

    Pavel ZakharovMaxim N. Artyomov

    PMID: 990013854

    DOI: 10.1101/013854

    Abstract

    RNA-seq is a powerful tool for gene expression profiling and differential expression analysis. Its power depends on sequencing depth which limits its high-throughput potential, with 10-15 million reads considered as optimal balance between quality of differential expression calling and ...read more

    Mentioned in this Paper

    Gene Expression
    Genetic Techniques
    RNA
    Genes
    Nucleic Acid Sequencing
    5
    17
    Paper Details
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