Okonechnikov Konstantin, Conesa Ana, García-Alcalde Fernando
Department of Molecular Biology, Max Planck Institute for Infection Biology, D-10117, Berlin, Germany.
Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, 46012, Valencia, Spain and Microbiology and Cell Science Department, Institute for Food and Agricultural Research, University of Florida at Gainesville, FL 32611-0700, USA.
Bioinformatics. 2016 Jan 15;32(2):292-4. doi: 10.1093/bioinformatics/btv566. Epub 2015 Oct 1.
Detection of random errors and systematic biases is a crucial step of a robust pipeline for processing high-throughput sequencing (HTS) data. Bioinformatics software tools capable of performing this task are available, either for general analysis of HTS data or targeted to a specific sequencing technology. However, most of the existing QC instruments only allow processing of one sample at a time.
Qualimap 2 represents a next step in the QC analysis of HTS data. Along with comprehensive single-sample analysis of alignment data, it includes new modes that allow simultaneous processing and comparison of multiple samples. As with the first version, the new features are available via both graphical and command line interface. Additionally, it includes a large number of improvements proposed by the user community.
The implementation of the software along with documentation is freely available at http://www.qualimap.org.
Supplementary data are available at Bioinformatics online.
检测随机误差和系统偏差是处理高通量测序(HTS)数据的稳健流程中的关键步骤。现有能够执行此任务的生物信息学软件工具,可用于HTS数据的一般分析或针对特定测序技术。然而,大多数现有的质量控制工具一次仅允许处理一个样本。
Qualimap 2代表了HTS数据质量控制分析的下一步。除了对比对数据进行全面的单样本分析外,它还包括允许同时处理和比较多个样本的新模式。与第一个版本一样,新功能可通过图形界面和命令行界面获得。此外,它还包含了用户社区提出的大量改进。
该软件的实现及文档可在http://www.qualimap.org免费获取。
补充数据可在《生物信息学》在线获取。