Modeling Methods read RNA-seq for RNA-seq modeling data. dataread counts from short After mapping, RNA-Seq data can be summarized by a sequence of read counts commonly modeled as Poisson variables with constant rates along each transcript, which actually fit data poorly. We suggest using variable rates for different positions, and propose two models to predict these rates based on local sequences. These models explain more than 50 % of the variations and can lead to improved estimates of gene and isoform expressions for both Illumin
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