MEEPTOOLS: A maximum expected error based FASTQ read filtering and trimming toolkit
Genomics
2015-12-11 v1
Abstract
Next generation sequencing technology rapidly produces massive volume of data and quality control of this sequencing data is essential to any genomic analysis. Here we present MEEPTOOLS, which is a collection of open-source tools based on maximum expected error as a percentage of read length (MEEP score) to filter, trim, truncate and assess next generation DNA sequencing data in FASTQ file format. MEEPTOOLS provides a non-traditional approach towards read filtering/trimming based on maximum error probabilities of the bases in the read on a non-logarithmic scale. This method simultaneously retains more reliable bases and removes more unreliable bases than the traditional quality filtering strategies.
Cite
@article{arxiv.1512.03344,
title = {MEEPTOOLS: A maximum expected error based FASTQ read filtering and trimming toolkit},
author = {Vishal N. Koparde and Hardik I. Parikh and Steven P. Bradley and Nihar U. Sheth},
journal= {arXiv preprint arXiv:1512.03344},
year = {2015}
}