[BioC] metabolomics data analysis

[Laurent Gatto]

A good start might be to have a look at the metabolomics biocView:

http://bioconductor.org/packages/release/BiocViews.html#___Metabolomics

Best wishes,

Laurent

On 4 September 2013 15:29, guest [guest] <guest at bioconductor.org> wrote:
>
> Dear Users,
>
> Do you know any package is designed for metabolomics data? or any package can be used to analyze metabolomics data? I have no experience analyze metabolomics data, it should be quite different from microarray.
>
> Thanks,
>
>
>  -- output of sessionInfo():
>
>> sessionInfo()
> R version 3.0.1 (2013-05-16)
> Platform: x86_64-apple-darwin10.8.0 (64-bit)
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] splines   parallel  stats     graphics  grDevices utils     datasets  methods   base
>
> other attached packages:
>  [1] WGCNA_1.27-1                          doParallel_1.0.3                      iterators_1.0.6                       foreach_1.4.1
>  [5] MASS_7.3-27                           reshape_0.8.4                         plyr_1.8                              Hmisc_3.12-2
>  [9] Formula_1.1-1                         survival_2.37-4                       flashClust_1.01-2                     dynamicTreeCut_1.60
> [13] impute_1.34.0                         affy_1.38.1                           cluster_1.14.4                        preprocessCore_1.22.0
> [17] BiocInstaller_1.10.3                  pd.hugene.2.0.st_3.8.0                oligo_1.24.2                          oligoClasses_1.22.0
> [21] hugene20sttranscriptcluster.db_2.12.1 org.Hs.eg.db_2.9.0                    RSQLite_0.11.4                        DBI_0.2-7
> [25] AnnotationDbi_1.22.6                  Biobase_2.20.1                        BiocGenerics_0.6.0                    limma_3.16.7
>
> loaded via a namespace (and not attached):
>  [1] affxparser_1.32.3    affyio_1.28.0        Biostrings_2.28.0    bit_1.1-10           codetools_0.2-8      ff_2.2-11            GenomicRanges_1.12.5
>  [8] grid_3.0.1           IRanges_1.18.3       lattice_0.20-15      rpart_4.1-1          stats4_3.0.1         tools_3.0.1          zlibbioc_1.6.0
>
> --
> Sent via the guest posting facility at bioconductor.org.
>
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-- 
Laurent Gatto
- http://proteome.sysbiol.cam.ac.uk/lgatto/
Cambridge Centre for Proteomics
- http://www.bio.cam.ac.uk/proteomics
Using R/Bioconductor for proteomics data analysis
- http://lgatto.github.io/RforProteomics/