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IEEE International Conference on Computational Advances in Bio and Medical SciencesBioinformaticsPeer-reviewed journal article

InfoTrim: A DNA Read Quality Trimmer Using Entropy

Jacob PorteriD, Liqing ZhangiD

PDFDOIPreprint

Abstract

Biological DNA reads are often trimmed before mapping, genome assembly, and other tasks to improve the quality of the results. Biological sequence complexity relates to alignment quality as low complexity regions can align poorly. There are many read trimmers, but many do not use sequence complexity for trimming. Alignment of reads generated from whole genome bisulfite sequencing is especially challenging since bisulfite treated reads tend to reduce sequence complexity. InfoTrim, a new read trimmer, was created to explore these issues. It is evaluated against five other trimmers using four read mappers on real and simulated bisulfite treated DNA data. InfoTrim produces reasonable results consistent with other trimmers.

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