iMicrobe: Tools and data-driven discovery platform for the microbiome sciences
iMicrobe: Tools and data-driven discovery platform for the microbiome sciences
复制标题
iMicrobe:微生物组科学的工具和数据驱动的发现平台
DOI:
10.1093/gigascience/giz083
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发表时间:
2019
期刊:
影响因子:
9.2
通讯作者:
Hurwitz, Bonnie L
中科院分区:
文献类型:
--
作者:
Youens-Clark, Ken;Bomhoff, Matt;Ponsero, Alise J;Wood-Charlson, Elisha M;Lynch, Joshua;Choi, Illyoung;Hartman, John H;Hurwitz, Bonnie L
BackgroundScientists have amassed a wealth of microbiome datasets, making it possible to study microbes in biotic and abiotic systems on a population or planetary scale; however, this potential has not been fully realized given that the tools, datasets, and computation are available in diverse repositories and locations. To address this challenge, we developed iMicrobe.us, a community-driven microbiome data marketplace and tool exchange for users to integrate their own data and tools with those from the broader community.FindingsThe iMicrobe platform brings together analysis tools and microbiome datasets by leveraging National Science Foundation–supported cyberinfrastructure and computing resources from CyVerse, Agave, and XSEDE. The primary purpose of iMicrobe is to provide users with a freely available, web-based platform to (1) maintain and share project data, metadata, and analysis products, (2) search for related public datasets, and (3) use and publish bioinformatics tools that run on highly scalable computing resources. Analysis tools are implemented in containers that encapsulate complex software dependencies and run on freely available XSEDE resources via the Agave API, which can retrieve datasets from the CyVerse Data Store or any web-accessible location (e.g., FTP, HTTP).ConclusionsiMicrobe promotes data integration, sharing, and community-driven tool development by making open source data and tools accessible to the research community in a web-based platform.
影响因子:
9.8
作者:
Merchant N;Lyons E;Goff S;Vaughn M;Ware D;Micklos D;Antin P
通讯作者:
Antin P
DOI:
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发表时间:
2018
期刊:
Practice and Experience in Advanced Research Computing
影响因子:
--
作者:
R. Dooley;Steven R. Brandt;John M. Fonner
通讯作者:
John M. Fonner
DOI:
10.1093/bioinformatics/btu843
发表时间:
2015-05-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Meinicke P
通讯作者:
Meinicke P