Award Abstract # 1743442
CyVerse: Cyberinfrastructure for the Life Sciences

NSF Org: DBI
Division of Biological Infrastructure
Recipient: UNIVERSITY OF ARIZONA
Initial Amendment Date: July 31, 2018
Latest Amendment Date: May 9, 2024
Award Number: 1743442
Award Instrument: Cooperative Agreement
Program Manager: Steven Ellis
stellis@nsf.gov
 (703)292-7876
DBI
 Division of Biological Infrastructure
BIO
 Directorate for Biological Sciences
Start Date: August 1, 2018
End Date: July 31, 2025 (Estimated)
Total Intended Award Amount: $14,999,752.00
Total Awarded Amount to Date: $15,199,324.00
Funds Obligated to Date: FY 2018 = $3,780,655.00
FY 2019 = $3,793,678.00

FY 2020 = $5,159,800.00

FY 2021 = $1,118,588.00

FY 2022 = $1,346,603.00
History of Investigator:
  • Nirav Merchant (Principal Investigator)
    nirav@email.arizona.edu
  • John Fonner (Co-Principal Investigator)
  • David Micklos (Co-Principal Investigator)
  • Tyson Swetnam (Co-Principal Investigator)
  • Parker Antin (Former Principal Investigator)
  • Eric Lyons (Former Principal Investigator)
  • Matthew Vaughn (Former Co-Principal Investigator)
  • Nirav Merchant (Former Co-Principal Investigator)
  • Eric Lyons (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of Arizona
845 N PARK AVE RM 538
TUCSON
AZ  US  85721
(520)626-6000
Sponsor Congressional District: 07
Primary Place of Performance: University of Arizona
888 N Euclid
Tucson
AZ  US  85719-4824
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): ED44Y3W6P7B9
Parent UEI:
NSF Program(s): Sustained Availability of Biol,
Cross-BIO Activities
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1165, 7465, 5946
Program Element Code(s): 086Y00, 727500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

CyVerse is a national computational resource that provides cyberinfrastructure to enable basic and applied research across the life sciences, and to train scientists in its use. The strong shift towards open innovation and open science necessitates a new level of interdisciplinary collaboration among geographically distributed teams of researchers. These collaborations require a higher level of scientific, technical, and computational rigor to ensure reproducibility and productivity as teams bring their customized analysis pipelines, toolkits, and best practices for wider use and dissemination. The expertise of the groups involved in the proposed work uniquely positions this project to meet these future needs and to continue providing best-in-class services to a diversity of life science researchers. CyVerse provides and supports a vertically integrated set of flexible and highly usable software-based services tailored to meeting the distinctive needs of life science researchers at all career stages, technological proficiencies, and computing services demand. CyVerse provides a cyberinfrastructure for the life sciences that acts as a "gateway" through which a broad diversity of researchers and educators can access remote and powerful computing resources through an interface that hides the complexity of cyberinfrastructure and presents a suite of familiar tools and data sources. Resources like CyVerse have transformed the way scientists work with data, accelerated the pace of discovery, and have democratized participation in leading edge research.

The objectives of this project are to sustain the core activities of CyVerse to continue providing service to existing users and to accommodate new users of this infrastructure. To meet these needs CyVerse will continue to provide reliable cyberinfrastructure through access to scalable computational and data management resources, ensuring that those resources are robust, secure, and dependable. CyVerse will also continue to enable science by providing support to science and research communities through targeted scientific collaborations and partnerships. Finally, Cyverse will continue to provide user training in the effective use of CyVerse for research. CyVerse's training and education activities have benefited scientists at all levels of expertise and will continue to positively impact the ability of life scientists to pursue data-enabled research.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Chougule, Kapeel M. and Wang, Liya and Stein, Joshua C. and Wang, Xiaofei and Devisetty, Upendra Kumar and Klein, Robert R. and Ware, Doreen "Improved RNA-seq Workflows Using CyVerse Cyberinfrastructure" Current Protocols in Bioinformatics , v.63 , 2018 10.1002/cpbi.53 Citation Details
Cosi, Michele and Forstedt, J.j. and Gonzalez, Emmanuel and Xu, Zhuoyun and Peri, Sateesh and Tuteja, Reetu and Blumberg, Kai and Campbell, Tanner and Merchant, Nirav and Lyons, Eric "StarBLAST: a scalable BLAST+ solution for the classroom" Journal of Open Source Education , v.4 , 2021 https://doi.org/10.21105/jose.00102 Citation Details
Gedir, Jay V. and Cain, James W. and Swetnam, Tyson L. and Krausman, Paul R. and Morgart, John R. "Extreme drought and adaptive resource selection by a desert mammal" Ecosphere , v.11 , 2020 https://doi.org/10.1002/ecs2.3175 Citation Details
Ponsero, Alise and Bartelme, Ryan and de Oliveira Almeida, Gustavo and Bigelow, Alex and Tuteja, Reetu and Ellingson, Holly and Swetnam, Tyson and Merchant, Nirav and Oxnam, Maliaca and Lyons, Eric "Ten simple rules for organizing a data science workshop" PLOS Computational Biology , v.16 , 2020 https://doi.org/10.1371/journal.pcbi.1008226 Citation Details
Swetnam, T. L. and Walls, R. and Devisetty, U. K. and Merchant, N. "CyVerse: a Ten-year Perspective on Cyberinfrastructure Development, Collaboration, and Community Building" AGU Fall Meeting Abstracts , 2018 Citation Details
Wieser, Florian and Stryeck, Sarah and Lang, Konrad and Hahn, Christoph and Thallinger, Gerhard G. and Feichtinger, Julia and Hack, Philipp and Stepponat, Manfred and Merchant, Nirav and Lindstaedt, Stefanie and Oberdorfer, Gustav "A local platform for user-friendly FAIR data management and reproducible analytics" Journal of Biotechnology , v.341 , 2021 https://doi.org/10.1016/j.jbiotec.2021.08.004 Citation Details

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