NGSPipes:促进生物科学的可重复性和可扩展性

Bruno Dantas, Calmenelias Fleitas, Alexandre Almeida, J. Forja, Alexandre P. Francisco, José Simão, Cátia Vaz
{"title":"NGSPipes:促进生物科学的可重复性和可扩展性","authors":"Bruno Dantas, Calmenelias Fleitas, Alexandre Almeida, J. Forja, Alexandre P. Francisco, José Simão, Cátia Vaz","doi":"10.1145/3107411.3108213","DOIUrl":null,"url":null,"abstract":"Biosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.","PeriodicalId":246388,"journal":{"name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","volume":"228 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"NGSPipes: Fostering Reproducibility and Scalability in Biosciences\",\"authors\":\"Bruno Dantas, Calmenelias Fleitas, Alexandre Almeida, J. Forja, Alexandre P. Francisco, José Simão, Cátia Vaz\",\"doi\":\"10.1145/3107411.3108213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.\",\"PeriodicalId\":246388,\"journal\":{\"name\":\"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics\",\"volume\":\"228 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3107411.3108213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3107411.3108213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在过去的几年里,NGS技术已经彻底改变了生物科学,为医疗、工业和环境应用带来了新的前景。尽管我们的动机来自于生物科学,但以下是许多科学领域的真实情况:发表的结果通常难以复制,延迟了新方法的采用并阻碍了创新。即使数据和工具是免费提供的,用于数据分析的管道通常也很少被描述,它们的设置也远非微不足道。ngspipe解决了这些问题,减少了在本地工作站或云中定义、构建和部署管道所需的工作量。ngspipe框架可以在http://ngspipes.github.io/上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
NGSPipes: Fostering Reproducibility and Scalability in Biosciences
Biosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mapping Free Text into MedDRA by Natural Language Processing: A Modular Approach in Designing and Evaluating Software Extensions Evolving Conformation Paths to Model Protein Structural Transitions Supervised Machine Learning Approaches Predict and Characterize Nanomaterial Exposures: MWCNT Markers in Lung Lavage Fluid. Geometry Analysis for Protein Secondary Structures Matching Problem Geometric Sampling Framework for Exploring Molecular Walker Energetics and Dynamics
×
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