Quantifying uniformity of mapped reads

Valerie Hower; Richard Starfield; Adam Roberts; Lior Pachter

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arXiv · 1109.5681

Quantifying uniformity of mapped reads

Valerie Hower·Richard Starfield·Adam Roberts·Lior Pachter

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Abstract

Summary: We describe a tool for quantifying the uniformity of mapped reads in high-throughput sequencing experiments. Our statistic directly measures the uniformity of both read position and fragment length, and we explain how to compute a p-value that can be used to quantify biases arising from experimental protocols and mapping procedures. Our method is useful for comparing different protocols in experiments such as RNA-Seq. Availability and Implementation: We provide a freely available and open source python script that can be used to analyze raw read data or reads mapped to transcripts in BAM format at http://www.math.miami.edu/~vhower/ReadSpy.html . Contact: lpachter@math.berkeley.edu

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Valerie Hower, Richard Starfield, Adam Roberts, Lior Pachter. 2012-07-17. Quantifying uniformity of mapped reads. https://arxiv.org/abs/1109.5681

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