MUGBAS: a species free gene-based programme suite for post-GWAS analysis. (11th March 2015)
- Record Type:
- Journal Article
- Title:
- MUGBAS: a species free gene-based programme suite for post-GWAS analysis. (11th March 2015)
- Main Title:
- MUGBAS: a species free gene-based programme suite for post-GWAS analysis
- Authors:
- Capomaccio, S.
Milanesi, M.
Bomba, L.
Vajana, E.
Ajmone-Marsan, P. - Abstract:
- Abstract : Genome Wide Association Studies between molecular markers and phenotypes are now routinely run in model and non-model species. However, tools to estimate the probability of association of functional units (e.g. genes) containing multiple markers are not developed for species other than humans. Here we introduce MUGBAS (MUlti species Gene-Based Association Suite), software that estimates the P -value of a gene using information on annotation, single marker GWA results and genotype. The software is species and annotation independent, fast, highly parallelized and ready for high-density marker studies. Availability and implementation : https://bitbucket.org/capemaster/mugbas Contact: capemaster@gmail.com
- Is Part Of:
- Bioinformatics. Volume 31:Number 14(2015)
- Journal:
- Bioinformatics
- Issue:
- Volume 31:Number 14(2015)
- Issue Display:
- Volume 31, Issue 14 (2015)
- Year:
- 2015
- Volume:
- 31
- Issue:
- 14
- Issue Sort Value:
- 2015-0031-0014-0000
- Page Start:
- 2380
- Page End:
- 2381
- Publication Date:
- 2015-03-11
- Subjects:
- Bioinformatics -- Periodicals
Genomics -- Data processing -- Periodicals
Computational biology -- Periodicals
572.80285 - Journal URLs:
- http://bioinformatics.oxfordjournals.org ↗
http://firstsearch.oclc.org ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/bioinformatics/btv144 ↗
- Languages:
- English
- ISSNs:
- 1367-4803
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2072.348000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12387.xml