From FastQ Data to High-Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline
Q1 Biochemistry, Genetics and Molecular Biology
Geraldine A. Van der Auwera, Mauricio O. Carneiro, Christopher Hartl, Ryan Poplin, Guillermo del Angel, Ami Levy-Moonshine, Tadeusz Jordan, Khalid Shakir, David Roazen, Joel Thibault, Eric Banks, Kiran V. Garimella, David Altshuler, Stacey Gabriel, Mark A. DePristo
下载PDF
{"title":"From FastQ Data to High-Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline","authors":"Geraldine A. Van der Auwera, Mauricio O. Carneiro, Christopher Hartl, Ryan Poplin, Guillermo del Angel, Ami Levy-Moonshine, Tadeusz Jordan, Khalid Shakir, David Roazen, Joel Thibault, Eric Banks, Kiran V. Garimella, David Altshuler, Stacey Gabriel, Mark A. DePristo","doi":"10.1002/0471250953.bi1110s43","DOIUrl":null,"url":null,"abstract":"<p>This unit describes how to use BWA and the Genome Analysis Toolkit (GATK) to map genome sequencing data to a reference and produce high-quality variant calls that can be used in downstream analyses. The complete workflow includes the core NGS data-processing steps that are necessary to make the raw data suitable for analysis by the GATK, as well as the key methods involved in variant discovery using the GATK. <i>Curr. Protoc. Bioinform</i>. 43:11.10.1-11.10.33. © 2013 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"43 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/0471250953.bi1110s43","citationCount":"5158","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/0471250953.bi1110s43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 5158
引用
批量引用
Abstract
This unit describes how to use BWA and the Genome Analysis Toolkit (GATK) to map genome sequencing data to a reference and produce high-quality variant calls that can be used in downstream analyses. The complete workflow includes the core NGS data-processing steps that are necessary to make the raw data suitable for analysis by the GATK, as well as the key methods involved in variant discovery using the GATK. Curr. Protoc. Bioinform . 43:11.10.1-11.10.33. © 2013 by John Wiley & Sons, Inc.
从快速数据到高可信度的变体调用:基因组分析工具包最佳实践管道
本单元描述了如何使用BWA和基因组分析工具包(GATK)将基因组测序数据映射到参考,并产生可用于下游分析的高质量变体调用。完整的工作流程包括使原始数据适合GATK分析所必需的核心NGS数据处理步骤,以及使用GATK发现变体所涉及的关键方法。咕咕叫。Protoc。Bioinform 43:11.10.1-11.10.33。©2013 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。