Published October 15, 2012
| public
Journal Article
Quantifying uniformity of mapped reads
Chicago
Abstract
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
Additional Information
© The Author 2012. Published by Oxford University Press on behalf of The Society for Financial Studies. Received: 20 September 2012. Revision Received: 04 July 2012. Accepted: 05 July 2012. V.H. was funded in part by NSF fellowship DMS-0902723. A.R and L.P. were funded in part by NIH R01 HG006129. A.R. was also funded in part by an NSF graduate research fellowship. Conflict of Interest: none declared.Additional details
- PMCID
- PMC3467739
- Eprint ID
- 74748
- DOI
- 10.1093/bioinformatics/bts451
- Resolver ID
- CaltechAUTHORS:20170303-164056261
- NSF Graduate Research Fellowship
- DMS-0902723
- NIH
- R01 HG006129
- Created
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2017-03-06Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field