{"title":"第十二章。用于定量蛋白质组学数据分析的模块化、开源工作流系统","authors":"L. Nilse","doi":"10.1039/9781782626732-00259","DOIUrl":null,"url":null,"abstract":"OpenMS is a software framework for the analysis and visualisation of proteomics data. It consists of over 100 individual tools which can be combined to simple or more complex analysis workflows. The tools are based on a well-documented, open-source C++ library that can also be accessed via a Python interface. Besides these tools, OpenMS provides wrappers for many popular external software solutions such as search engines and protein inference algorithms. The workflows can be run on simple desktop computers as well as powerful computing clusters. In this chapter, we will discuss four workflows of increasing complexity and thereby introduce new users to the basic concepts of OpenMS.","PeriodicalId":192946,"journal":{"name":"Proteome Informatics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Chapter 12. OpenMS: A Modular, Open-Source Workflow System for the Analysis of Quantitative Proteomics Data\",\"authors\":\"L. Nilse\",\"doi\":\"10.1039/9781782626732-00259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OpenMS is a software framework for the analysis and visualisation of proteomics data. It consists of over 100 individual tools which can be combined to simple or more complex analysis workflows. The tools are based on a well-documented, open-source C++ library that can also be accessed via a Python interface. Besides these tools, OpenMS provides wrappers for many popular external software solutions such as search engines and protein inference algorithms. The workflows can be run on simple desktop computers as well as powerful computing clusters. In this chapter, we will discuss four workflows of increasing complexity and thereby introduce new users to the basic concepts of OpenMS.\",\"PeriodicalId\":192946,\"journal\":{\"name\":\"Proteome Informatics\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proteome Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1039/9781782626732-00259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteome Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1039/9781782626732-00259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chapter 12. OpenMS: A Modular, Open-Source Workflow System for the Analysis of Quantitative Proteomics Data
OpenMS is a software framework for the analysis and visualisation of proteomics data. It consists of over 100 individual tools which can be combined to simple or more complex analysis workflows. The tools are based on a well-documented, open-source C++ library that can also be accessed via a Python interface. Besides these tools, OpenMS provides wrappers for many popular external software solutions such as search engines and protein inference algorithms. The workflows can be run on simple desktop computers as well as powerful computing clusters. In this chapter, we will discuss four workflows of increasing complexity and thereby introduce new users to the basic concepts of OpenMS.
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