You are here: Home / Resources / Teaching Materials / CyVerse: Scalable Image Informatics / Description
Resource Image

CyVerse: Scalable Image Informatics

Author(s): Tyson Lee Swetnam1, Edwin Skidmore2, Tony Edgin2, Ramona Walls2, Eric Lyons2, Nirav Merchant2

1. University of Arizona BIO5 Institute, CyVerse 2. University of Arizona

1134 total view(s), 276 download(s)

3 comment(s) (Post a comment)

Download

Adapt 0
Summary:
Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 27 Jul 2020 doi:10.25334/C1DA-G511 - cite this

Keywords

  1. image analysis
  2. undergraduate research
  3. machine learning
  4. CyVerse

Alignments

  1. Resource Type
Contents:
view all files

Description

CyVerse provides life scientists with powerful computational infrastructure to handle huge datasets and complex analyses, thus enabling data-driven discovery. Our extensible platforms provide data storage, bioinformatics tools, data visualization, interactive analyses, cloud services, and APIs. Using our free and open source cyberinfrastructure, teams of researchers can attempt to answer questions that previously were unapproachable because the computational requirements were too large or too complex.

CyVerse cyberinfrastructure includes:

  • A data storage facility

  • An interactive, web-based, analytical platform

  • Cloud infrastructure to access remote servers for computation, analysis, and storage

  • Web authentication and security services

  • Support for scaling computational algorithms to run on large, high-speed computers

  • Education and training in how to use cyberinfrastructure

  • People with expertise in all of the above

Cite this work

Researchers should cite this work as follows:

Close

Home

Search