Importantly, some of these biases correlated in a highly significant manner with biological features, including transcript length, gene expression levels, conservation levels, and exon-intron architecture, misleadingly increasing the credibility of results due to them.
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Detection and removal of biases in the analysis of next-generation sequencing reads.
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