AfterQC: automatic filtering, trimming, error removing and quality control for fastq data.
文献类型：期刊论文
| 作者 | Chen, Shifu; Huang, Tanxiao; Zhou, Yanqing; Han, Yue; Xu, Mingyan; Gu, Jia |
| 刊名 | BMC BIOINFORMATICS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Background: 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 highly automated quality control and data filtering features. Different from most tools, AfterQC analyses the overlapping of paired sequences for pair-end sequencing data. Based on overlapping analysis, AfterQC can detect and cut adapters, and furthermore it gives a novel function to correct wrong bases in the overlapping regions. Another new feature is to detect and visualise sequencing bubbles, which can be commonly found on the flowcell lanes and may raise sequencing errors. Besides normal per cycle quality and base content plotting, AfterQC also provides features like polyX (a long sub-sequence of a same base X) filtering, automatic trimming and K-MER based strand bias profiling. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11973]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | BMC BIOINFORMATICS |
| 推荐引用方式 GB/T 7714 | Chen, Shifu,Huang, Tanxiao,Zhou, Yanqing,et al. AfterQC: automatic filtering, trimming, error removing and quality control for fastq data.[J]. BMC BIOINFORMATICS,2017. |
| APA | Chen, Shifu,Huang, Tanxiao,Zhou, Yanqing,Han, Yue,Xu, Mingyan,&Gu, Jia.(2017).AfterQC: automatic filtering, trimming, error removing and quality control for fastq data..BMC BIOINFORMATICS. |
| MLA | Chen, Shifu,et al."AfterQC: automatic filtering, trimming, error removing and quality control for fastq data.".BMC BIOINFORMATICS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。