Bioconductor 1.1 Released
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Jeff Gentry ★ 3.9k
@jeff-gentry-12
Last seen 9.6 years ago
The Bioconductor development team announces release 1.1 of the Bioconductor packages for the analysis of genomic data. Bioconductor is an open source bioinformatics software project based on R. Version 1.1 features: ===================== * All packages from the 1.0 release are included. All current bug fixes have been applied, and most have upgraded and provide enhanced functionality. * New packages and major upgrades for release 1.1: affy: read.MIAME, a widget for entering phenoData. expresso, a flexible function for computing expression measures as well as providing widgets to choose among options in the various steps of preprocessing. rma, a fast and efficient function to compute the multi-array average expression measure. * Biobase: vignette and openVignette, functions to give users greater interaction with package vignettes from the R command line. * graph: A new package that provides classes & tools to handle graph objects in R. * hexbin: A new package which includes binning functions, in particular hexagonal bins for graphing * marrayTools: A new package with miscellaneous functions use in the functional genomics core facility in UCB * reposTools: A new package that provides tools for dealing with file repositories, which allow users to easily install, update and distribute packages, vignettes and other files. * tkWidgets: vExplorer, a powerful tool designed to allow users to interact with vignette documentation in a hands on manner. * vsn: A new package providing calibration and variance stabilizing transformations for DNA array data. Software, documentation, and further details are available on the Bioconductor WWW site: http://www.bioconductor.org/ HELP AND RESOURCES: =================== Information on subscribing to the mailing list and viewing its archives can be found at: http://www.stat.math.ethz.ch/mailman/listinfo/bioconductor Please use that list to discuss Bioconductor specific issues, bugs, and problems. Note that every package has a vignette (a literate program which provides an annotated example of the package's use) as well as possibly some "HOWTO"s. These document the tool's usage, and are provided in the "doc" subdirectory of each package library. WHO: ==== For the Bioconductor development team: Douglas Bates, University of Wisconsin, USA. Vince Carey, Harvard Medical School, USA. Marcel Dettling, Federal Inst. Technology, Switzerland. Sandrine Dudoit, Division of Biostatistics, University of California, Berkeley, USA. Byron Ellis, Harvard Department of Statistics, USA. Laurent Gautier, Technial University of Denmark, Denmark. Robert Gentleman, Harvard Medical School, USA. Jeff Gentry, Dana-Farber Cancer Institute, USA. Kurt Hornik, Technische Universitat Wien, Austria. Torsten Hothorn, Institut fuer Medizininformatik, Biometrie und Epidemiologie, Germany. Wolfgang Huber, DKFZ Heidelberg, Molecular Genome Analysis, Germany. Stefano Iacus, Italy Rafael Irizarry, Department of Biostatistics (JHU), USA. Friedrich Leisch, Technische Universitat Wien, Austria. Cheng Li, Harvard Medical School, USA. Martin Maechler, Federal Inst. Technology, Switzerland. Anthony Rossini, University of Washington and the Fred Hutchinson Cancer Research Center, USA. Gunther Sawitzki, Institute fur Angewandte Mathematik, Germany. Luke Tierney, University of Iowa, USA. Jean Yee Hwa Yang, University of California, San Francisco, USA. Jianhua (John) Zhang, Dana-Farber Cancer Institute, USA
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