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:
==================
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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