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Bioconductor
Installed Bioconductor packages include:
  • General tools:
    • Biobase: Object-oriented representation and manipulation of genomic data (S4 class structure).
    • tkWidgets: Tools for creating Tcl/Tk widgets, i.e., small-scale graphical user interfaces.

  • Annotation:
    • annotate: Associate experimental data in real time to biological metadata from web databases such as GenBank, LocusLink and PubMed. Process and store query results. Generate HTML reports of analyses.
    • AnnBuilder: Assemble and process genomic annotation data, from databases such as GenBank, the Gene Ontology Consortium, LocusLink, UniGene, the UCSC Human Genome Project.
  • Graphics:
    • geneplotter: Graphical tools for genomic data, for example for plotting expression data along a chromosome or producing color images of expression data matrices
  • Pre-processing:
    • affy: Diagnostic plots, expression measures, and normalization for Affymetrix chip data.
      marryClasses, marryInput, marryNorm, marryPlots: Diagnostic plots and normalization for cDNA microarray data.
  • Differential gene expression:
    • edd: Expression density diagnostics: graphical methods and pattern recognition algorithms for distribution shape classification.
      genefilter: Tools for sequentially filtering genes using a wide variety of filtering functions. Example of filters include: number of missing value, coefficient of variation of expression measures, ANOVA p-value, Cox model p-values. Sequential application of filtering functions to genes.
    • multtest: Multiple testing procedures for controlling the family-wise error rate (FWER) and the false discovery rate (FDR). Tests can be based on t- or F-statistics for one- and two-factor designs, and permutation procedures are available to estimate adjusted p-values.
      ROC: Receiver Operating Characteristic (ROC) approach for identifying genes that are differentially expressed int two types of samples.
  • (c) SJava - An Omegahat R Package

    A package that provides direct access to calling arbitrary Java methods and creating arbitrary Java objects from within R and also calling R functions from Java. This can be used to get access to network facilities; create graphical interfaces with R functions as callbacks; image manipulation classes; mail package; etc.

    http://cran.r-project.org/

    "Source of contributed packages"

     

 
 
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