HTQC: a fast quality control toolkit for Illumina sequencing data

<p>Abstract</p> <p>Background</p> <p>Illumina sequencing platform is widely used in genome research. Sequence reads quality assessment and control are needed for downstream analysis. However, software that provides efficient quality assessment and versatile filtration m...

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Bibliographic Details
Main Authors: Yang Xi, Liu Di, Liu Fei, Wu Jun, Zou Jing, Xiao Xue, Zhao Fangqing, Zhu Baoli
Format: Article
Language:English
Published: BMC 2013-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/14/33
Description
Summary:<p>Abstract</p> <p>Background</p> <p>Illumina sequencing platform is widely used in genome research. Sequence reads quality assessment and control are needed for downstream analysis. However, software that provides efficient quality assessment and versatile filtration methods is still lacking.</p> <p>Results</p> <p>We have developed a toolkit named HTQC – abbreviation of High-Throughput Quality Control – for sequence reads quality control, which consists of six programs for reads quality assessment, reads filtration and generation of graphic reports.</p> <p>Conclusions</p> <p>The HTQC toolkit can generate reads quality assessment faster than existing tools, providing guidance for reads filtration utilities that allow users to choose different strategies to remove low quality reads.</p>
ISSN:1471-2105