AfterQC: automatic filtering, trimming, error removing and quality control for fastq data
Abstract
Some applications, especially those clinical applications requiring high accuracy of sequencing data, usually have to face the troubles caused by unavoidable sequencing errors. Several tools have been proposed to profile the sequencing quality, but few of them can quantify or correct the sequencing errors. This unmet requirement motivated us to develop AfterQC, a tool with functions to profile sequencing errors and correct most of them, plus...
Paper Details
Title
AfterQC: automatic filtering, trimming, error removing and quality control for fastq data
Published Date
Mar 14, 2017
Journal
Volume
18
Issue
3
Pages
80 - 80
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