工作流程
互操作性
一套
鉴定(生物学)
计算机科学
钥匙(锁)
数据科学
代谢组学
数据处理
数据挖掘
数据库
生物
万维网
生物信息学
历史
考古
植物
计算机安全
作者
Marc Rurik,Oliver Alka,Fabian Aicheler,Oliver Kohlbacher
出处
期刊:Methods in molecular biology
日期:2020-01-01
卷期号:: 49-60
被引量:7
标识
DOI:10.1007/978-1-0716-0239-3_4
摘要
This chapter describes the open-source tool suite OpenMS. OpenMS contains more than 180 tools which can be combined to build complex and flexible data-processing workflows. The broad range of functionality and the interoperability of these tools enable complex, complete, and reproducible data analysis workflows in computational proteomics and metabolomics. We introduce the key concepts of OpenMS and illustrate its capabilities with a complete workflow for the analysis of untargeted metabolomics data, including metabolite quantification and identification.
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