[Bioc-devel] exptData(SummarizedExperiment)

Michael Lawrence lawrence.michael at gene.com
Wed May 13 00:22:31 CEST 2015


It's more general than SummarizedExperiment. I think people would
appreciate a simple way to load the core, without having to remember, for
example, that VCF reading is in VariantAnnotation.

On Mon, May 11, 2015 at 9:51 PM, Hervé Pagès <hpages at fredhutch.org> wrote:

> Hi Michael,
>
> On 05/11/2015 05:35 PM, Michael Lawrence wrote:
>
>> Splitting stuff into different packages is good for modularity, but
>> tough on the mind of the user. What about having some sort of "meta"
>> package that simply loads the core infrastructure packages? Named
>> something simple like "Genomics" or "GenomicsCore".
>>
>
> Don't know if we need this. For example, for all the
> SummarizedExperiment use cases I ran into, the end-user generally
> only needs to load the corresponding high-level package (DESeq2,
> VariantAnnotation, minfi, GenomicAlignments, etc...) and that takes
> care of loading all the low-level infrastructure packages.
>
> H.
>
>
>> On Mon, May 11, 2015 at 5:10 PM, Hervé Pagès <hpages at fredhutch.org
>> <mailto:hpages at fredhutch.org>> wrote:
>>
>>     Hi Tim,
>>
>>     The SummarizedExperiment class is being replaced with the
>>     RangedSummarizedExperiment class from the new SummarizedExperiment
>>     package. This is a work-in-progress and the name and internal
>>     representation of the RangedSummarizedExperiment class are not
>>     finalized yet. The main goal for now is to move all the
>>     SummarizedExperiment stuff from GenomicRanges to its own package.
>>
>>     Anyway, metadata() is the replacement for exptData() on
>>     RangedSummarizedExperiment objects. It's on my list to add
>>     an exptData method for backward compatibility.
>>
>>     Cheers,
>>     H.
>>
>>
>>     On 05/11/2015 04:37 PM, Tim Triche, Jr. wrote:
>>
>>         who determined that breaking this would be a good idea?!?
>>
>>         R> ?SummarizedExperiment
>>         Help on topic 'SummarizedExperiment' was found in the following
>>         packages:
>>
>>             Package               Library
>>             GenomicRanges
>>           /home/tim/R/x86_64-pc-linux-gnu-library/3.2
>>             SummarizedExperiment
>>
>> /home/tim/R/x86_64-pc-linux-gnu-library/3.2
>>
>>            R> nrows <- 200; ncols <- 6
>>         R>        counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows)
>>         R>        rowRanges <- GRanges(rep(c("chr1", "chr2"), c(50, 150)),
>>         +                           IRanges(floor(runif(200, 1e5, 1e6)),
>>         width=100),
>>         +                           strand=sample(c("+", "-"), 200, TRUE))
>>         R>        colData <- DataFrame(Treatment=rep(c("ChIP", "Input"),
>> 3),
>>         +                             row.names=LETTERS[1:6])
>>         R>        sset <-
>>         SummarizedExperiment(assays=SimpleList(counts=counts),
>>         +                       rowRanges=rowRanges, colData=colData)
>>         R>        sset
>>         class: RangedSummarizedExperiment
>>         dim: 200 6
>>         metadata(0):
>>         assays(1): counts
>>         rownames: NULL
>>         rowRanges metadata column names(0):
>>         colnames(6): A B ... E F
>>         colData names(1): Treatment
>>         R>        assayNames(sset)
>>         [1] "counts"
>>         R>        assays(sset) <- endoapply(assays(sset), asinh)
>>         R>        head(assay(sset))
>>                   A    B    C    D    E    F
>>         [1,] 6.89 8.81 9.46 9.20 8.88 9.44
>>         [2,] 5.07 9.70 4.08 7.47 8.91 5.64
>>         [3,] 9.88 9.84 8.95 9.07 9.86 9.06
>>         [4,] 9.89 8.88 8.92 8.05 8.46 9.51
>>         [5,] 9.75 8.48 4.73 9.86 8.43 9.86
>>         [6,] 9.29 9.13 9.80 9.77 9.50 8.40
>>         R> exptData(sset)
>>         Error in (function (classes, fdef, mtable)  :
>>             unable to find an inherited method for function 'exptData'
>>         for signature
>>         '"RangedSummarizedExperiment"'
>>
>>
>>
>>         It's one of those things that's a handy place to put data when
>>         you need to
>>         carry it around for the same set of people/subjects but don't
>>         have a handy
>>         multidimensional container for it.  So it's a bit of a drag that
>>         it now
>>         breaks...
>>
>>
>>         Bonus:
>>
>>         R> ?"exptData,SummarizedExperiment-method"
>>
>>         SummarizedExperiment-class    package:GenomicRanges    R
>>         Documentation
>>
>>         SummarizedExperiment instances
>>
>>         Description:
>>
>>                The SummarizedExperiment class is a matrix-like container
>>         where
>>                rows represent ranges of interest (as a 'GRanges or
>>                GRangesList-class') and columns represent samples (with
>>         sample
>>                data summarized as a 'DataFrame-class'). A
>>         'SummarizedExperiment'
>>                contains one or more assays, each represented by a
>>         matrix-like
>>                object of numeric or other mode.
>>
>>
>>
>>
>>         R> sessionInfo()
>>         R version 3.2.0 (2015-04-16)
>>         Platform: x86_64-pc-linux-gnu (64-bit)
>>         Running under: Ubuntu 15.04
>>
>>         locale:
>>            [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
>>            [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
>>            [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
>>            [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
>>            [9] LC_ADDRESS=C               LC_TELEPHONE=C
>>         [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
>>
>>         attached base packages:
>>            [1] grid      stats4    parallel  stats     graphics
>>         grDevices datasets
>>            [8] utils     methods   base
>>
>>         other attached packages:
>>            [1] disintegrator_0.4.8         vegan_2.2-1
>>            [3] permute_0.8-3               CCAGFA_1.0.4
>>            [5] FEM_2.3.0                   org.Hs.eg.db_3.1.2
>>            [7] igraph_0.7.1                corrplot_0.73
>>            [9] marray_1.47.0               AnnotationDbi_1.31.6
>>         [11] MotifDb_1.10.0              PWMEnrich_4.5.0
>>         [13] SCAN.UPC_2.10.0             sva_3.15.0
>>         [15] genefilter_1.51.0           mgcv_1.8-6
>>         [17] nlme_3.1-120                affyio_1.37.0
>>         [19] affy_1.47.0                 oligo_1.33.0
>>         [21] oligoClasses_1.31.0         SRAdb_1.23.0
>>         [23] RCurl_1.95-4.6              bitops_1.0-6
>>         [25] graph_1.47.0                quadprog_1.5-5
>>         [27] mclust_5.0.1                ConsensusClusterPlus_1.23.0
>>         [29] simulatorZ_1.5.1            CoxBoost_1.4
>>         [31] prodlim_1.5.1               rsig_1.0
>>         [33] survival_2.38-1             DMRcate_1.5.42
>>         [35] matrixStats_0.14.0          rtracklayer_1.29.5
>>         [37] Matrix_1.2-0                qvalue_2.1.0
>>         [39] impute_1.43.0               DMRcatedata_1.5.0
>>         [41] minfi_1.15.3                bumphunter_1.8.0
>>         [43] locfit_1.5-9.1              iterators_1.0.7
>>         [45] foreach_1.4.2               Biostrings_2.37.2
>>         [47] XVector_0.9.1               SummarizedExperiment_0.1.1
>>         [49] GenomicRanges_1.21.9        GenomeInfoDb_1.5.2
>>         [51] IRanges_2.3.8               S4Vectors_0.7.2
>>         [53] lattice_0.20-31             limma_3.25.3
>>         [55] ks_1.9.4                    rgl_0.95.1247
>>         [57] mvtnorm_1.0-2               misc3d_0.8-4
>>         [59] KernSmooth_2.23-14          dplyr_0.4.1
>>         [61] GEOmetadb_1.29.0            RSQLite_1.0.0
>>         [63] DBI_0.3.1                   GEOquery_2.35.4
>>         [65] Biobase_2.29.1              BiocGenerics_0.15.0
>>         [67] bigrquery_0.1.0.9000        BiocInstaller_1.19.5
>>         [69] magrittr_1.5                gtools_3.4.2
>>
>>         loaded via a namespace (and not attached):
>>            [1] Hmisc_3.16-0            plyr_1.8.2
>> splines_3.2.0
>>            [4] BiocParallel_1.3.9      ggplot2_1.0.1
>>  digest_0.6.8
>>            [7] SuppDists_1.1-9.1       gdata_2.16.1            GMD_0.3.3
>>         [10] checkmate_1.5.2         BBmisc_1.9              cluster_2.0.1
>>         [13] annotate_1.47.0         siggenes_1.43.0
>>           colorspace_1.2-6
>>         [16] tcltk_3.2.0             registry_0.2            gtable_0.1.2
>>         [19] zlibbioc_1.15.0         RGCCA_2.0               evd_2.3-0
>>         [22] scales_0.2.4            futile.options_1.0.0
>> pheatmap_1.0.2
>>         [25] rngtools_1.2.4          Rcpp_0.11.6             xtable_1.7-4
>>         [28] foreign_0.8-63          bit_1.1-12
>>         preprocessCore_1.31.0
>>         [31] Formula_1.2-1           lava_1.4.0              glmnet_2.0-2
>>         [34] httr_0.6.1              gplots_2.17.0
>>           RColorBrewer_1.1-2
>>         [37] acepack_1.3-3.3         ff_2.2-13               reshape_0.8.5
>>         [40] XML_3.98-1.1            nnet_7.3-9
>> reshape2_1.4.1
>>         [43] munsell_0.4.2           tools_3.2.0             stringr_1.0.0
>>         [46] bootstrap_2015.2        beanplot_1.2
>> caTools_1.17.1
>>         [49] doRNG_1.6               nor1mix_1.2-0
>>  biomaRt_2.25.1
>>         [52] stringi_0.4-1           superpc_1.09
>>         futile.logger_1.4.1
>>         [55] GenomicFeatures_1.21.2  survcomp_1.19.0         gbm_2.1.1
>>         [58] survivalROC_1.0.3       multtest_2.25.0         R6_2.0.1
>>         [61] latticeExtra_0.6-26     gridExtra_0.9.1
>>           affxparser_1.41.2
>>         [64] codetools_0.2-11        lambda.r_1.1.7
>> seqLogo_1.35.0
>>         [67] MASS_7.3-40             assertthat_0.1          proto_0.3-10
>>         [70] pkgmaker_0.22           GenomicAlignments_1.5.8
>>         Rsamtools_1.21.4
>>         [73] mixOmics_5.0-4          rpart_4.1-9             base64_1.1
>>         [76] illuminaio_0.11.0       rmeta_2.16
>>
>>
>>
>>
>>         Statistics is the grammar of science.
>>         Karl Pearson <http://en.wikipedia.org/wiki/The_Grammar_of_Science
>> >
>>
>>                  [[alternative HTML version deleted]]
>>
>>         _______________________________________________
>>         Bioc-devel at r-project.org <mailto:Bioc-devel at r-project.org>
>>         mailing list
>>         https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>
>>
>>     --
>>     Hervé Pagès
>>
>>     Program in Computational Biology
>>     Division of Public Health Sciences
>>     Fred Hutchinson Cancer Research Center
>>     1100 Fairview Ave. N, M1-B514
>>     P.O. Box 19024
>>     Seattle, WA 98109-1024
>>
>>     E-mail: hpages at fredhutch.org <mailto:hpages at fredhutch.org>
>>     Phone: (206) 667-5791 <tel:%28206%29%20667-5791>
>>     Fax: (206) 667-1319 <tel:%28206%29%20667-1319>
>>
>>
>>     _______________________________________________
>>     Bioc-devel at r-project.org <mailto:Bioc-devel at r-project.org> mailing
>> list
>>     https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>
>>
>>
> --
> Hervé Pagès
>
> Program in Computational Biology
> Division of Public Health Sciences
> Fred Hutchinson Cancer Research Center
> 1100 Fairview Ave. N, M1-B514
> P.O. Box 19024
> Seattle, WA 98109-1024
>
> E-mail: hpages at fredhutch.org
> Phone:  (206) 667-5791
> Fax:    (206) 667-1319
>

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