[BioC] alternate /tmp for Bioconductor install
Marcus Davy
MDavy at hortresearch.co.nz
Mon May 23 15:08:55 CEST 2005
The following lookup in R may also be useful as an alternative to lookup from the http://www.bioconductor.org/packages/bioc/stable/src/contrib/html/ url.
You can obtain a list of dependancies (and more).
a <- CRAN.packages(CRAN=getOption("BIOC"))
a[,c("Package","Version","Depends")]
Package Version Depends
aCGH "aCGH" "1.1.4" "R (>= 1.8.0), cluster, repeated, rmutil, survival, multtest,\nsma"
affy "affy" "1.5.8-1" "R (>= 1.9.0), Biobase (>= 1.4.22), reposTools"
affycomp "affycomp" "1.4.3" "R (>= 1.8.1), Biobase (>= 1.1.0)"
affydata "affydata" "1.4.0" "R (>= 1.6.2), affy (>= 1.2)"
affylmGUI "affylmGUI" "1.2.5" "limma, tcltk, affy"
...
> packageDescription("affy", field="Version")
[1] "1.5.8-1"
This list should be querying the current release packages of Biocondcutor 1.6. Can somebody verify that?
Marcus
>>> Kasper Daniel Hansen <k.hansen at biostat.ku.dk> 20/05/2005 10:21:18 p.m. >>>
It could in principle be scritable and might even be a little worthwhile
to do it. But basically the BioC version number is corresponds to a
whole list of individual package numbers. As sson as you move away from
the getBioC script you can have a big mix of development and release
level packages.
Kasper
On Fri, May 20, 2005 at 02:40:04PM -0500, Robert Citek wrote:
>
> On May 20, 2005, at 11:52 AM, Seth Falcon wrote:
> >Well, there isn't a global Bioc version that you get query. The best
> >thing to do is to compare the version numbers of a few packages
> >against what is on the Bioconductor website.
> >
> >For example,
> >
> >>library(Biobase)
> >>sessionInfo()
> >>
> >R version 2.1.0, 2005-04-29, x86_64-unknown-linux-gnu
> >
> >attached base packages:
> >[1] "tools" "methods" "stats" "graphics" "grDevices"
> >"utils"
> >[7] "datasets" "base"
> >
> >other attached packages:
> > Biobase
> >"1.5.12"
> >
> >And then verify the version here:
> >http://www.bioconductor.org/packages/bioc/stable/src/contrib/html/
>
> I'm not that familiar with R, but I imagine that the above is
> scriptable. That is, I should be able to traverse the package
> dependency tree and query each package for its version. Is that
> possible within R?
>
> Regards,
> - Robert
>
> _______________________________________________
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> Bioconductor at stat.math.ethz.ch
> https://stat.ethz.ch/mailman/listinfo/bioconductor
--
Kasper Daniel Hansen, Research Assistant
Department of Biostatistics, University of Copenhagen
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