Bioinformatics Tools for RNA-seq Gene and Isoform Quantification
نویسندگان
چکیده
منابع مشابه
Gene expression WemIQ: an accurate and robust isoform quantification method for RNA-seq data
Motivation: The deconvolution of isoform expression from RNA-seq remains challenging because of non-uniform read sampling and subtle differences among isoforms. Results: We present a weighted-log-likelihood expectation maximization method on isoform quantification (WemIQ). WemIQ integrates an effective bias removal with a weighted expectation maximization (EM) algorithm to distribute reads amon...
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Correctly estimating isoform-specific gene expression is important for understanding complicated biological mechanisms and for mapping disease susceptibility genes. However, estimating isoform-specific gene expression is challenging because various biases present in RNA-Seq (RNA sequencing) data complicate the analysis, and if not appropriately corrected, can affect isoform expression estimatio...
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While RNA sequencing (RNA‐seq) has become increasingly popular for transcrip‐ tome profiling, the analysis of the massive amount of data generated by large‐scale RNA‐seq still remains a challenge. RNA‐seq data analyses typically consist of (1) accurate mapping of millions of short sequencing reads to a reference genome, including the identification of splicing events; (2) quantifying expression...
متن کاملWemIQ: an accurate and robust isoform quantification method for RNA-seq data
MOTIVATION The deconvolution of isoform expression from RNA-seq remains challenging because of non-uniform read sampling and subtle differences among isoforms. RESULTS We present a weighted-log-likelihood expectation maximization method on isoform quantification (WemIQ). WemIQ integrates an effective bias removal with a weighted expectation maximization (EM) algorithm to distribute reads amon...
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ژورنال
عنوان ژورنال: Journal of Next Generation Sequencing & Applications
سال: 2016
ISSN: 2469-9853
DOI: 10.4172/2469-9853.1000140