Study on quality control of the next-generation sequencing data
10.7644/j.issn.1674-9960.2014.05.014
- VernacularTitle:下一代测序数据的质量控制研究
- Author:
Sheng LIU
;
Zuren FENG
;
Shan GAO
- Publication Type:Journal Article
- Keywords:
next generation sequencing;
high-throughput sequencing;
data process;
quality control
- From:
Military Medical Sciences
2014;(5):377-380
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the quality control of the next-generation sequencing data by analyzing some im-portant problems with quality control in order to provide high-quality data for the downstream data analysis .Method The software Fastq_clean was developed to clean the data and to statistically analyze the quality of the data.Result Using a Chrysanthemum transcriptome dataset , the function of the Fastq_clean software was illustrated .Conclusion Based on the Bioconducter package , the Fastq_clean software can accurately remove low quality nucleotides and Ns , adapter contamina-tion, possible rRNA and virus contamination .Moreover, it can keep the largest possible amount of high-quality data reads.