eagle-i University of Hawaii at ManoaUniversity of Hawaii at Manoa
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Cancer bioinformatics and systems biology service

eagle-i ID

http://hawaii.eagle-i.net/i/0000012b-c76e-ce35-2f73-b43980000000

Resource Type

  1. Data analysis service

Properties

  1. Resource Description
    The ISR provides expertise in the design and programming of bioinformatics tools and algorithms dedicated to the analysis, visualization and interpretation of high dimensional, genomic data sets. The ISR has also developed and maintains a web-based suite of analytical tools (CRCHXpress) that greatly accelerates the analysis, visualization and interpretation of microarray data of all kinds through the use of an intuitive, point-and-click graphical user interface. Other software tools that are available to investigators include Ingenuity Pathway Analysis for assessing the biological significance gene lists, Pathway Studio for inferring the up- and down-stream effects of a given set of molecules, and Geospiza/GeneSifter for the multi-way statistical analysis of microarray and next-generation sequence datasets. The ISR provides consultation and support on use of genomics and proteomics data repositories such as the Gene Expression Omnibus (GEO) which provides access to data for almost a billion expression measurements in over 4,000 experiments from over 1,000 organisms. The ISR also conducts research and development in new analytical tools and methods that ensure that Center investigators can quickly and effectively exploit the latest technology advances in cancer genomics, proteomics and systems biology.
  2. Contact
    Okimoto, Gordon
  3. Related Resource
    Dell PowerEdge 2900 III server
  4. Access Restriction(s)
    Only available to members of Cancer Research Centers.
  5. Service Provided by
    Informatics Shared Resource
  6. Website(s)
    http://www.crchbioinfo.org/
  7. ERO_0001053
    Yes
 
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Provenance Metadata About This Resource Record

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016