Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection.

Saved in:
Bibliographic Details
Title: Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection.
Authors: Calus MP; Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 338, 6700 AH, Wageningen, The Netherlands. mario.calus@wur.nl., Bouwman AC; Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 338, 6700 AH, Wageningen, The Netherlands., Schrooten C; CRV BV, 6800 AL, Arnhem, The Netherlands., Veerkamp RF; Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 338, 6700 AH, Wageningen, The Netherlands.
Source: Genetics, selection, evolution : GSE [Genet Sel Evol] 2016 Jun 29; Vol. 48 (1), pp. 49. Date of Electronic Publication: 2016 Jun 29.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: France NLM ID: 9114088 Publication Model: Electronic Cited Medium: Internet ISSN: 1297-9686 (Electronic) Linking ISSN: 0999193X NLM ISO Abbreviation: Genet Sel Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1297-9686
DOI:10.1186/s12711-016-0225-x