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HTQC: a Fast Quality Control Toolkit for Illumina Sequencing Data

Overview
Journal BMC Bioinformatics
Publisher Biomed Central
Specialty Biology
Date 2013 Feb 1
PMID 23363224
Citations 90
Authors
Xi Yang
Di Liu
Fei Liu
Jun Wu
Jing Zou
Xue Xiao
Fangqing Zhao
Baoli Zhu
Affiliations
Soon will be listed here.
Abstract

Background: 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.

Results: 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.

Conclusions: 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.

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