MXP: Modular eXpandable framework for building bioinformatics Pipelines.

Mikhail Kovtun, Konstantin Arbeev, Anatoliy Yashin, Igor Akushevich
{"title":"MXP: Modular eXpandable framework for building bioinformatics Pipelines.","authors":"Mikhail Kovtun,&nbsp;Konstantin Arbeev,&nbsp;Anatoliy Yashin,&nbsp;Igor Akushevich","doi":"10.26502/jbsb.5107058","DOIUrl":null,"url":null,"abstract":"<p><p>Pipelines are a natural tool in bioinformatics applications. Virtually any meaningful processing of biological data involves the execution of multiple software tools, and this execution must be arranged in a coherent manner. Many tools for the building of pipelines were developed over time and used to facilitate work with increasing volume of bioinformatics data. Here we present a flexible and expandable framework for building pipelines, MXP, which we hope will find its own niche in bioinformatics applications. We developed MXP and tested it on various tasks in our organization, primarily for building pipelines for GWAS (Genome-Wide Association Studies) and post-GWAS analysis. It was proven to be sufficiently flexible and useful. MXP implements a number of novel features which, from our point of view, make it to be more suitable and more convenient for building bioinformatics pipelines.</p>","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621886/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of bioinformatics and systems biology : Open access","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26502/jbsb.5107058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Pipelines are a natural tool in bioinformatics applications. Virtually any meaningful processing of biological data involves the execution of multiple software tools, and this execution must be arranged in a coherent manner. Many tools for the building of pipelines were developed over time and used to facilitate work with increasing volume of bioinformatics data. Here we present a flexible and expandable framework for building pipelines, MXP, which we hope will find its own niche in bioinformatics applications. We developed MXP and tested it on various tasks in our organization, primarily for building pipelines for GWAS (Genome-Wide Association Studies) and post-GWAS analysis. It was proven to be sufficiently flexible and useful. MXP implements a number of novel features which, from our point of view, make it to be more suitable and more convenient for building bioinformatics pipelines.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
MXP:用于构建生物信息学管道的模块化可扩展框架。
管道是生物信息学应用中的一种天然工具。实际上,任何有意义的生物数据处理都涉及到多个软件工具的执行,并且这种执行必须以连贯的方式安排。随着时间的推移,许多用于构建管道的工具被开发出来,并用于促进生物信息学数据量不断增加的工作。在这里,我们提出了一个灵活和可扩展的管道构建框架MXP,我们希望它能在生物信息学应用中找到自己的利基。我们开发了MXP,并在我们组织的各种任务中进行了测试,主要用于构建GWAS(全基因组关联研究)和GWAS后分析的管道。事实证明,它足够灵活和有用。MXP实现了许多新功能,从我们的角度来看,这些功能使其更适合和更方便地构建生物信息学管道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Linear Regression of Sampling Distributions of the Mean. Transcriptional and Translational Regulation of Differentially Expressed Genes in Yucatan Miniswine Brain Tissues following Traumatic Brain Injury. The Growing Liberality Observed in Primary Animal and Plant Cultures is Common to the Social Amoeba. Role of Transcription Factors and MicroRNAs in Regulating Fibroblast Reprogramming in Wound Healing. CDKs Functional Analysis in Low Proliferating Early-Stage Pancreatic Ductal Adenocarcinoma.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1