CAJ | 학술논문

目的：对下一代测序数据质量控制的几个主要问题进行分析，设计数据清理和质量控制软件，为下游的数据分析提供保障。方法基于Bioconducter 软件包，开发了一个数据清理软件（ Fastq_clean ）。结果该软件在一组已发表的菊花转录组数据集上测试，得到了清理后的测序数据，同时输出了质量控制信息。结论该软件在充分利用Illumina序列特征的基础上，可以非常精确地去除低质量残基、接头、rRNA和病毒等污染，最大限度保留了高质量数据。
목적：대하일대측서수거질량공제적궤개주요문제진행분석，설계수거청리화질량공제연건，위하유적수거분석제공보장。방법기우Bioconducter 연건포，개발료일개수거청리연건（ Fastq_clean ）。결과해연건재일조이발표적국화전록조수거집상측시，득도료청리후적측서수거，동시수출료질량공제신식。결론해연건재충분이용Illumina서렬특정적기출상，가이비상정학지거제저질량잔기、접두、rRNA화병독등오염，최대한도보류료고질량수거。
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.