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Helmholtz Zentrum für Infektionsforschung Repository > Further Departments and Research Groups > Dept. of Experimental Mouse Genetics (EMG) > JRG Infection Genetics (INFG) > Publications of JRG Infection Genetics (INFG) > Bioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs.


Please use this identifier to cite or link to this item: http://hdl.handle.net/10033/218331
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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
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
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.
Type: Article
Language: en
ISSN: 1477-4054
Appears in Collections: Publications of JRG Infection Genetics (INFG)

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