Computational biology resources lack persistence and usability

Veretnik, Stella, Fink, J. Lynn and Bourne, Philip E. (2008) Computational biology resources lack persistence and usability. PLoS Computational Biology, 4 7: e1000136.1-e1000136.3. doi:10.1371/journal.pcbi.1000136

Author Veretnik, Stella
Fink, J. Lynn
Bourne, Philip E.
Title Computational biology resources lack persistence and usability
Journal name PLoS Computational Biology   Check publisher's open access policy
ISSN 1553-734X
Publication date 2008-07
Sub-type Editorial
DOI 10.1371/journal.pcbi.1000136
Open Access Status DOI
Volume 4
Issue 7
Start page e1000136.1
End page e1000136.3
Total pages 3
Place of publication San Francisco, CA , United States
Publisher Public Library of Science
Language eng
Subject 0601 Biochemistry and Cell Biology
0803 Computer Software
Formatted abstract
Innovation in computational biology research is predicated on the availability of published methods and computational resources. These resources facilitate the generation of new hypotheses and observations both on the part of the creators and the scientists who use them. These methods and resources include Web servers, databases, and software, both complex and simple, that implement a specific procedure or algorithm. Usually, a resource is maintained by the laboratory in which it was initially developed. We would assert that there is a growing level of frustration among scientists who attempt to use many of these resources and find that they no longer exist or are not properly maintained.

Keyword Computational biology
Diffusion of innovation
Information dissemination
Supply & distribution
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Article number: e1000136

Document type: Journal Article
Sub-type: Editorial
Collections: Excellence in Research Australia (ERA) - Collection
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Fri, 26 Mar 2010, 10:45:49 EST by Jon Swabey on behalf of Institute for Molecular Bioscience