IBMQ: A R/Bioconductor package for integrated Bayesian modeling of eQTL data

Bioinformatics

Volumn 29, Issue 21, 2013, Pages 2797-2798

  Imholte, Greg C ^a   Scott Boyer, Marie Pier ^b   Labbe, Aurélie ^c   Deschepper, Christian F ^b   Gottardo, Raphael ^a,d  

^a UNIVERSITY OF WASHINGTON   (United States)

^b CLIN RESEARCH INSTITUTE OF MONTREAL   (Canada)

^c MCGILL UNIVERSITY   (Canada)

^d USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; GENE EXPRESSION; MONTE CARLO METHOD; MOUSE; PROBABILITY; QUANTITATIVE TRAIT LOCUS; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; ANIMALS; BAYES THEOREM; GENE EXPRESSION; MARKOV CHAINS; MICE; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI; SOFTWARE;

EID: 84885969360     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt485     Document Type: Article

References (6)

1. Broman, K.W. et al. (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics, 17, 889-890. (Pubitemid 36582406)
2. Gilad, Y. et al. (2008) Revealing the architecture of gene regulation the promise of eQTL studies. Trends Genet., 24, 408-415.
3. Newton, M.A. et al. (2004) Detecting differential gene expression with a semiparametric hierarchical mixture method. Biometrics, 5, 155-176. (Pubitemid 41180221)
4. Scott-Boyer, M.P. and Deschepper, C.F. (2013) Genome-wide detection of gene coexpression domains showing linkage to regions enriched with polymorphic retrotransposons in recombinant inbred mouse strains. G3 (Bethesda), 3, 597-605.
5. Scott-Boyer, M.P. et al. (2012) An integrated hierarchical bayesian model for multivariate eqtl mapping. Stat. Appl. Genet. Mol. Biol., 11, 4.
6. Carey, V.J. et al. (2009) Data structures and algorithms for analysis of genetics of gene expression with Bioconductor: GGtools 3.x. Bioinformatics, 25, 1447-1448.