Bioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs.

2.50
HDL Handle:
http://hdl.handle.net/10033/218331
Title:
Bioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs.
Authors:
Durrant, Caroline; Swertz, Morris A; Alberts, Rudi; Arends, Danny; Möller, Steffen; Mott, Richard; Prins, Pjotr; van der Velde, K Joeri; Jansen, Ritsert C; Schughart, Klaus
Abstract:
During a meeting of the SYSGENET working group 'Bioinformatics', currently available software tools and databases for systems genetics in mice were reviewed and the needs for future developments discussed. The group evaluated interoperability and performed initial feasibility studies. To aid future compatibility of software and exchange of already developed software modules, a strong recommendation was made by the group to integrate HAPPY and R/qtl analysis toolboxes, GeneNetwork and XGAP database platforms, and TIQS and xQTL processing platforms. R should be used as the principal computer language for QTL data analysis in all platforms and a 'cloud' should be used for software dissemination to the community. Furthermore, the working group recommended that all data models and software source code should be made visible in public repositories to allow a coordinated effort on the use of common data structures and file formats.
Affiliation:
University of Oxford.
Citation:
Bioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs. 2012, 13 (2):135-42 Brief. Bioinformatics
Journal:
Briefings in bioinformatics
Issue Date:
Mar-2012
URI:
http://hdl.handle.net/10033/218331
DOI:
10.1093/bib/bbr026
PubMed ID:
22396485
Type:
Article
Language:
en
ISSN:
1477-4054
Appears in Collections:
Publications of JRG Infection Genetics (INFG)

Full metadata record

DC FieldValueLanguage
dc.contributor.authorDurrant, Carolineen_GB
dc.contributor.authorSwertz, Morris Aen_GB
dc.contributor.authorAlberts, Rudien_GB
dc.contributor.authorArends, Dannyen_GB
dc.contributor.authorMöller, Steffenen_GB
dc.contributor.authorMott, Richarden_GB
dc.contributor.authorPrins, Pjotren_GB
dc.contributor.authorvan der Velde, K Joerien_GB
dc.contributor.authorJansen, Ritsert Cen_GB
dc.contributor.authorSchughart, Klausen_GB
dc.date.accessioned2012-04-12T14:22:09Z-
dc.date.available2012-04-12T14:22:09Z-
dc.date.issued2012-03-
dc.identifier.citationBioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs. 2012, 13 (2):135-42 Brief. Bioinformaticsen_GB
dc.identifier.issn1477-4054-
dc.identifier.pmid22396485-
dc.identifier.doi10.1093/bib/bbr026-
dc.identifier.urihttp://hdl.handle.net/10033/218331-
dc.description.abstractDuring a meeting of the SYSGENET working group 'Bioinformatics', currently available software tools and databases for systems genetics in mice were reviewed and the needs for future developments discussed. The group evaluated interoperability and performed initial feasibility studies. To aid future compatibility of software and exchange of already developed software modules, a strong recommendation was made by the group to integrate HAPPY and R/qtl analysis toolboxes, GeneNetwork and XGAP database platforms, and TIQS and xQTL processing platforms. R should be used as the principal computer language for QTL data analysis in all platforms and a 'cloud' should be used for software dissemination to the community. Furthermore, the working group recommended that all data models and software source code should be made visible in public repositories to allow a coordinated effort on the use of common data structures and file formats.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to Briefings in bioinformaticsen_GB
dc.titleBioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs.en
dc.typeArticleen
dc.contributor.departmentUniversity of Oxford.en_GB
dc.identifier.journalBriefings in bioinformaticsen_GB

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