Please use this identifier to cite or link to this item: https://doi.org/10.3389/fpls.2011.00034
Title: The iPlant collaborative: Cyberinfrastructure for plant biology
Authors: Goff, S.A
Vaughn, M
McKay, S
Issue Date: 2011
Publisher: Frontiers Media
Citation: Goff, S.A, Vaughn, M, McKay, S (2011). The iPlant collaborative: Cyberinfrastructure for plant biology. Frontiers in Plant Science 2 (JUL) : 34. ScholarBank@NUS Repository. https://doi.org/10.3389/fpls.2011.00034
Rights: Attribution 4.0 International
Abstract: The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support of plant biology research (PSCIC, 2006). iPlant is developing cyberinfrastructure that uniquely enables scientists throughout the diverse fields that comprise plant biology to address Grand Challenges in new ways, to stimulate and facilitate cross-disciplinary research, to promote biology and computer science research interactions, and to train the next generation of scientists on the use of cyberinfrastructure in research and education. Meeting humanity's projected demands for agricultural and forest products and the expectation that natural ecosystems be managed sustainably will require synergies from the application of information technologies. The iPlant cyberinfrastructure design is based on an unprecedented period of research community input, and leverages developments in high-performance computing, data storage, and cyberinfrastructure for the physical sciences. iPlant is an open-source project with application programming interfaces that allow the community to extend the infrastructure to meet its needs. iPlant is sponsoring community-driven workshops addressing specific scientific questions via analysis tool integration and hypothesis testing. These workshops teach researchers how to add bioinformatics tools and/or datasets into the iPlant cyberinfrastructure enabling plant scientists to perform complex analyses on large datasets without the need to master the command-line or high-performance computational services. © 2011 Goff, Vaughn, McKay, Lyons, Stapleton, Gessler, Matasci, Wang, Hanlon, Lenards, Muir, Merchant, Lowry, Mock, Helmke, Kubach, Narro, Hopkins, Micklos, Hilgert, Gonzales, Jordan, Skidmore, Dooley, Cazes, McLay, Lu, Pasternak, Koesterke, Piel, Grene, Noutsos, Gendler, Feng, Tang, Lent, Kim, Kvilekval, Manjunath, Tannen, Stamatakis, Sanderson, Welch, Cranston, Soltis, Soltis, O'Meara, Ane, Brutnell, Kleibenstein, White, Leebens-Mack, Donoghue, Spalding, Vision, Myers, Lowenthal, Enquist, Boyle, Akoglu, Andrews, Ram, Ware, Stein and Stanzione.
Source Title: Frontiers in Plant Science
URI: https://scholarbank.nus.edu.sg/handle/10635/178173
ISSN: 1664-462X
DOI: 10.3389/fpls.2011.00034
Rights: Attribution 4.0 International
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_3389_fpls_2011_00034.pdf1.22 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons