FREGAT: an R package for region-based association analysis. (24th March 2016)
- Record Type:
- Journal Article
- Title:
- FREGAT: an R package for region-based association analysis. (24th March 2016)
- Main Title:
- FREGAT: an R package for region-based association analysis
- Authors:
- Belonogova, Nadezhda M.
Svishcheva, Gulnara R.
Axenovich, Tatiana I. - Abstract:
- Abstract : Summary: Several approaches to the region-based association analysis of quantitative traits have recently been developed and successively applied. However, no software package has been developed that implements all of these approaches for either independent or structured samples. Here we introduce FREGAT (Family REGional Association Tests), an R package that can handle family and population samples and implements a wide range of region-based association methods including burden tests, functional linear models, and kernel machine-based regression. FREGAT can be used in genome/exome-wide region-based association studies of quantitative traits and candidate gene analysis. FREGAT offers many useful options to empower its users and increase the effectiveness and applicability of region-based association analysis. Availability and Implementation: https://cran.r-project.org/web/packages/FREGAT/index.html Supplementary Information: Supplementary data are available at Bioinformatics Online. Contact: belon@bionet.nsc.ru
- Is Part Of:
- Bioinformatics. Volume 32:Number 15(2016)
- Journal:
- Bioinformatics
- Issue:
- Volume 32:Number 15(2016)
- Issue Display:
- Volume 32, Issue 15 (2016)
- Year:
- 2016
- Volume:
- 32
- Issue:
- 15
- Issue Sort Value:
- 2016-0032-0015-0000
- Page Start:
- 2392
- Page End:
- 2393
- Publication Date:
- 2016-03-24
- 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/btw160 ↗
- 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:
- 12388.xml