DESCRIPTION

Package: LearnBioconductor
Type: Package
Title: Learning R / Bioconductor for Sequence Analysis
Version: 0.1.6
Authors@R: c(person("Martin", "Morgan", role=c("aut", "cre"),
                    email="mtmorgan@fhcrc.org"),
             person("Sonali", "Arora", role="aut"))
License: Artistic-2.0
VignetteBuilder: knitr
Description: This course is directed at beginning and intermediate
    students who would like an introduction to the analysis and
    comprehension of high-throughput sequence data using R and
    Bioconductor. Day 1 focuses on learning essential background: an
    introduction to the R programming language; central concepts for
    effective use of Bioconductor software; and an overview of
    high-throughput sequence analysis work flows. Day 2 emphasizes use
    of Bioconductor for specific tasks: an RNA-seq differential
    expression work flow; exploratory, machine learning, and other
    statistical tasks; gene set enrichment; and annotation.  Day 3
    transitions to understanding effective approaches for managing
    larger challenges: strategies for working with large data, writing
    re-usable functions, developing reproducible reports and work
    flows, and visualizing results. The course combines lectures with
    extensive hands-on practicals; students are required to bring a
    laptop with wireless internet access and a modern version of the
    Chrome or Safari web browser.
Packaged: 2014-10-27 01:31:35 UTC; dante
Author: Martin Morgan [aut, cre],
  Sonali Arora [aut]
Maintainer: Martin Morgan <mtmorgan@fhcrc.org>
Suggests: knitr, BiocStyle, BiocInstaller, ALL,
    BSgenome.Hsapiens.UCSC.hg19, BiocParallel, Biostrings,
    GenomicAlignments, GenomicFeatures, Gviz, MLSeq, PoiClaClu,
    RColorBrewer, RNAseqData.HNRNPC.bam.chr14, Rsamtools, ShortRead,
    TxDb.Hsapiens.UCSC.hg19.knownGene, VariantAnnotation, airway,
    class, cn.mops, dendextend, fission, genefilter, ggplot2, gplots,
    org.Hs.eg.db, sva, xtable, PoiClaClu, sva, fission, kernlab,
    e1071