4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      iBMQ: a R/Bioconductor package for integrated Bayesian modeling of eQTL data

      , , , ,
      Bioinformatics
      Oxford University Press (OUP)

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references4

          • Record: found
          • Abstract: not found
          • Article: not found

          R/qtl: QTL mapping in experimental crosses

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Data structures and algorithms for analysis of genetics of gene expression with Bioconductor: GGtools 3.x.

              Associations between DNA polymorphisms and mRNA abundance are a natural target of genetic investigations, and microarrays facilitate genome-wide and transcriptome-wide surveys of these associations. This work is motivated by emerging requirements for data architectures and algorithm interfaces to allow flexible exploration of public and private archives of genotyping and expression arrays. Using R/Bioconductor facilities, Phase II HapMap genotypes and Illumina 47K expression assay results archived on multiple populations may be interactively explored and analyzed using commodity hardware. Open Source. Bioconductor 2.3 packages GGtools, GGBase, GGdata, hmyriB36. Freely available on the web at (http://www.bioconductor.org).
                Bookmark

                Author and article information

                Journal
                Bioinformatics
                Oxford University Press (OUP)
                1367-4803
                1460-2059
                November 01 2013
                November 01 2013
                : 29
                : 21
                : 2797-2798
                Article
                10.1093/bioinformatics/btt485
                23958729
                d643646e-eb75-4c32-8a08-e7d0c0107078
                © 2013
                History

                Comments

                Comment on this article