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dc.contributor.authorDurrant, Caroline
dc.contributor.authorSwertz, Morris A
dc.contributor.authorAlberts, Rudi
dc.contributor.authorArends, Danny
dc.contributor.authorMöller, Steffen
dc.contributor.authorMott, Richard
dc.contributor.authorPrins, Pjotr
dc.contributor.authorvan der Velde, K Joeri
dc.contributor.authorJansen, Ritsert C
dc.contributor.authorSchughart, Klaus
dc.date.accessioned2012-04-12T14:22:09Zen
dc.date.available2012-04-12T14:22:09Zen
dc.date.issued2012-03en
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.issn1477-4054en
dc.identifier.pmid22396485en
dc.identifier.doi10.1093/bib/bbr026en
dc.identifier.urihttp://hdl.handle.net/10033/218331en
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.
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
refterms.dateFOA2018-06-12T17:58:31Z
html.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.


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