[Bioc-devel] SummarizedExperiment assays() gives HDF5Array error in Rstudio

Marcel Ramos m@rce|@r@mo@perez @end|ng |rom ro@we||p@rk@org
Thu Jun 3 20:44:04 CEST 2021


Hi Shraddha,

I am also unable to reproduce this in RStudio Server Version 1.4.1106 using
our Bioc 3.12 Docker container.

There may be some inadvertent version mixing based on the error.
Please make sure the `BiocManager::valid()` is returning `TRUE`.

---
 > brca <- curatedTCGAData::curatedTCGAData("BRCA", c("miRNASeqGene", 
"mRNAArray", "RPPAArray", "Methylation_methyl27"), dry.run=FALSE)
 > brca
A MultiAssayExperiment object of 4 listed
  experiments with user-defined names and respective classes.
  Containing an ExperimentList class object of length 4:
  [1] BRCA_miRNASeqGene-20160128: SummarizedExperiment with 1046 rows 
and 849 columns
  [2] BRCA_mRNAArray-20160128: SummarizedExperiment with 17814 rows and 
590 columns
  [3] BRCA_RPPAArray-20160128: SummarizedExperiment with 226 rows and 
937 columns
  [4] BRCA_Methylation_methyl27-20160128: SummarizedExperiment with 
27578 rows and 343 columns
Functionality:
  experiments() - obtain the ExperimentList instance
  colData() - the primary/phenotype DataFrame
  sampleMap() - the sample coordination DataFrame
  `$`, `[`, `[[` - extract colData columns, subset, or experiment
  *Format() - convert into a long or wide DataFrame
  assays() - convert ExperimentList to a SimpleList of matrices
  exportClass() - save all data to files
 > assays(experiments(brca)[[4]])
List of length 1
names(1): counts
 > sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04 LTS

Matrix products: default
BLAS/LAPACK: 
/usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so

locale:
  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C LC_TIME=en_US.UTF-8
  [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8 LC_MESSAGES=C
  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 
LC_IDENTIFICATION=C

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils datasets  
methods   base

other attached packages:
  [1] rhdf5_2.34.0                curatedTCGAData_1.12.1 
MultiAssayExperiment_1.16.0
  [4] SummarizedExperiment_1.20.0 Biobase_2.50.0 GenomicRanges_1.42.0
  [7] GenomeInfoDb_1.26.7         IRanges_2.24.1 S4Vectors_0.28.1
[10] BiocGenerics_0.36.1         MatrixGenerics_1.2.1 matrixStats_0.59.0

loaded via a namespace (and not attached):
  [1] Rcpp_1.0.6                    lattice_0.20-41 assertthat_0.2.1
  [4] digest_0.6.27                 utf8_1.2.1 mime_0.10
  [7] BiocFileCache_1.14.0          R6_2.5.0 RSQLite_2.2.7
[10] httr_1.4.2                    pillar_1.6.1 zlibbioc_1.36.0
[13] rlang_0.4.11                  curl_4.3.1 blob_1.2.1
[16] Matrix_1.3-2                  AnnotationHub_2.22.1 RCurl_1.98-1.3
[19] bit_4.0.4                     HDF5Array_1.18.1 shiny_1.6.0
[22] DelayedArray_0.16.3           compiler_4.0.3 httpuv_1.6.1
[25] pkgconfig_2.0.3               htmltools_0.5.1.1 tidyselect_1.1.1
[28] tibble_3.1.2                  GenomeInfoDbData_1.2.4 
interactiveDisplayBase_1.28.0
[31] fansi_0.5.0                   withr_2.4.2 crayon_1.4.1
[34] dplyr_1.0.6                   dbplyr_2.1.1 later_1.2.0
[37] rhdf5filters_1.2.1            bitops_1.0-7 rappdirs_0.3.3
[40] grid_4.0.3                    xtable_1.8-4 lifecycle_1.0.0
[43] DBI_1.1.1                     magrittr_2.0.1 cachem_1.0.5
[46] XVector_0.30.0                promises_1.2.0.1 ellipsis_0.3.2
[49] generics_0.1.0                vctrs_0.3.8 Rhdf5lib_1.12.1
[52] tools_4.0.3                   bit64_4.0.5 glue_1.4.2
[55] purrr_0.3.4                   BiocVersion_3.12.0 fastmap_1.1.0
[58] yaml_2.2.1                    AnnotationDbi_1.52.0 
ExperimentHub_1.16.1
[61] BiocManager_1.30.15           memoise_2.0.0
---

Best,

Marcel


On 6/3/21 11:21 AM, Vincent Carey wrote:
> On Thu, Jun 3, 2021 at 9:11 AM Shraddha Pai <shraddha.pai using utoronto.ca>
> wrote:
>
>> Hi Vincent,
>> Thank you. This is for a workshop with pre-selected versions of R/BioC, so
>> I have no control over the release.
>> Will try redownloading the data. I just found it puzzling that the
>> identical code works in command-line R (ie started from bash shell) but not
>> in Rstudio but perhaps they have different ways of caching loaded MAE
>> objects?
>> Best,Shraddha
>>
> I neglected to mention that my transcript was developed in RStudio on
> Terra, with RStudio 1.4.1106, 2389bc24
>
>
>> On Wed, Jun 2, 2021 at 4:28 PM Vincent Carey <stvjc using channing.harvard.edu>
>> wrote:
>>
>>> You are behind the release and should update.  However, with a reasonably
>>> close
>>> instance I can't reproduce your error.  I had a flaky download at one
>>> point; you might
>>> want to reconstitute your brca data.
>>>
>>>> brca = curatedTCGAData("BRCA", c("miRNASeqGene", "mRNAArray", "RPPAArray", "Methylation_methyl27"), dry.run=FALSE)snapshotDate(): 2020-10-27Working on: BRCA_miRNASeqGene-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationdownloading 1 resourcesretrieving 1 resource  |===================================================================================| 100%loading from cacheWorking on: BRCA_mRNAArray-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationdownloading 1 resourcesretrieving 1 resource  |===================================================================================| 100%loading from cacheWorking on: BRCA_RPPAArray-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationdownloading 1 resourcesretrieving 1 resource  |===================================================================================| 100%loading from cacheWorking on: BRCA_Methylation_methyl27-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationloading from cachesee ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationloading from cacheWorking on: BRCA_colData-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationloading from cacheWorking on: BRCA_metadata-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationloading from cacheWorking on: BRCA_sampleMap-20160128see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentationloading from cacheharmonizing input:
>>>    removing 11654 sampleMap rows not in names(experiments)
>>>    removing 1 colData rownames not in sampleMap 'primary'> brcaA MultiAssayExperiment object of 4 listed
>>>   experiments with user-defined names and respective classes.
>>>   Containing an ExperimentList class object of length 4:
>>>   [1] BRCA_miRNASeqGene-20160128: SummarizedExperiment with 1046 rows and 849 columns
>>>   [2] BRCA_mRNAArray-20160128: SummarizedExperiment with 17814 rows and 590 columns
>>>   [3] BRCA_RPPAArray-20160128: SummarizedExperiment with 226 rows and 937 columns
>>>   [4] BRCA_Methylation_methyl27-20160128: SummarizedExperiment with 27578 rows and 343 columns
>>> Functionality:
>>>   experiments() - obtain the ExperimentList instance
>>>   colData() - the primary/phenotype DataFrame
>>>   sampleMap() - the sample coordination DataFrame
>>>   `$`, `[`, `[[` - extract colData columns, subset, or experiment
>>>   *Format() - convert into a long or wide DataFrame
>>>   assays() - convert ExperimentList to a SimpleList of matrices
>>>   exportClass() - save all data to files> assay(experiments(brca)[[4]])<27578 x 343> matrix of class DelayedMatrix and type "double":
>>>             TCGA-A1-A0SD-01A-11D-A112-05 ... TCGA-E2-A15T-01A-11D-A112-05
>>> cg00000292                   0.60555263   .                   0.25951246
>>> cg00002426                   0.06197412   .                   0.04144839
>>> cg00003994                   0.33345006   .                   0.34969161
>>> cg00005847                   0.67217034   .                   0.83666264
>>> cg00006414                           NA   .                           NA
>>>         ...                            .   .                            .
>>> cg27657283                   0.04196141   .                   0.03385843
>>> cg27661264                   0.51756951   .                   0.47593756
>>> cg27662379                   0.01078112   .                   0.01157093
>>> cg27662877                   0.03112835   .                   0.02603354
>>> cg27665659                   0.01072116   .                   0.01756740> sessionInfo()R version 4.0.3 (2020-10-10)
>>> Platform: x86_64-pc-linux-gnu (64-bit)
>>> Running under: Ubuntu 20.04 LTS
>>>
>>> Matrix products: default
>>> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so
>>>
>>> locale:
>>>   [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8
>>>   [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=C
>>>   [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C
>>> [10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
>>>
>>> attached base packages:
>>> [1] parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base
>>>
>>> other attached packages:
>>>   [1] rhdf5_2.34.0                curatedTCGAData_1.12.1      MultiAssayExperiment_1.16.0
>>>   [4] SummarizedExperiment_1.20.0 Biobase_2.50.0              GenomicRanges_1.42.0
>>>   [7] GenomeInfoDb_1.26.7         IRanges_2.24.1              S4Vectors_0.28.1
>>> [10] BiocGenerics_0.36.1         MatrixGenerics_1.2.1        matrixStats_0.59.0
>>> [13] httr_1.4.2                  magrittr_2.0.1              AnVIL_1.5.0
>>> [16] dplyr_1.0.6                 BiocManager_1.30.15
>>>
>>> loaded via a namespace (and not attached):
>>>   [1] bitops_1.0-7                  bit64_4.0.5
>>>   [3] rprojroot_2.0.2               tools_4.0.3
>>>   [5] R6_2.5.0                      HDF5Array_1.18.1
>>>   [7] DBI_1.1.1                     colorspace_2.0-1
>>>   [9] rhdf5filters_1.2.1            withr_2.4.2
>>> [11] tidyselect_1.1.1              prettyunits_1.1.1
>>> [13] processx_3.5.2                bit_4.0.4
>>> [15] curl_4.3.1                    compiler_4.0.3
>>> [17] cli_2.5.0                     formatR_1.11
>>> [19] DelayedArray_0.16.3           scales_1.1.1
>>> [21] callr_3.7.0                   rappdirs_0.3.3
>>> [23] rapiclient_0.1.3              digest_0.6.27
>>> [25] XVector_0.30.0                pkgconfig_2.0.3
>>> [27] htmltools_0.5.1.1             dbplyr_2.1.1
>>> [29] fastmap_1.1.0                 rlang_0.4.11
>>> [31] rstudioapi_0.13               RSQLite_2.2.7
>>> [33] shiny_1.6.0                   generics_0.1.0
>>> [35] jsonlite_1.7.2                RCurl_1.98-1.3
>>> [37] GenomeInfoDbData_1.2.4        futile.logger_1.4.3
>>> [39] Matrix_1.3-2                  Rcpp_1.0.6
>>> [41] munsell_0.5.0                 Rhdf5lib_1.12.1
>>> [43] lifecycle_1.0.0               yaml_2.2.1
>>> [45] zlibbioc_1.36.0               pkgbuild_1.2.0
>>> [47] BiocFileCache_1.14.0          AnnotationHub_2.22.1
>>> [49] grid_4.0.3                    blob_1.2.1
>>> [51] promises_1.2.0.1              ExperimentHub_1.16.1
>>> [53] crayon_1.4.1                  lattice_0.20-41
>>> [55] ps_1.6.0                      pillar_1.6.1
>>> [57] futile.options_1.0.1          glue_1.4.2
>>> [59] BiocVersion_3.12.0            lambda.r_1.2.4
>>> [61] remotes_2.3.0                 vctrs_0.3.8
>>> [63] httpuv_1.6.1                  gtable_0.3.0
>>> [65] purrr_0.3.4                   tidyr_1.1.3
>>> [67] assertthat_0.2.1              cachem_1.0.5
>>> [69] ggplot2_3.3.3                 xfun_0.23
>>> [71] mime_0.10                     xtable_1.8-4
>>> [73] later_1.2.0                   tibble_3.1.2
>>> [75] tinytex_0.32                  AnnotationDbi_1.52.0
>>> [77] memoise_2.0.0                 ellipsis_0.3.2
>>> [79] interactiveDisplayBase_1.28.0
>>>
>>>
>>> On Wed, Jun 2, 2021 at 3:37 PM Shraddha Pai <shraddha.pai using utoronto.ca>
>>> wrote:
>>>
>>>> Hello BioC community,
>>>>
>>>> Calling assays() on a SummarizedExperiment object has suddenly started
>>>> giving me this error in Rstudio but not on command-line R. I have been
>>>> trying to solve this for a few hours without luck and any help would be
>>>> great. sessionInfo() output below and this is Rstudio 1.4.
>>>>
>>>> Thanks,Shraddha
>>>>
>>>> Browse[1]> brcaA MultiAssayExperiment object of 4 listed
>>>>   experiments with user-defined names and respective classes.
>>>>   Containing an ExperimentList class object of length 4:
>>>>   [1] BRCA_miRNASeqGene-20160128: SummarizedExperiment with 1046 rows
>>>> and 166 columns
>>>>   [2] BRCA_mRNAArray-20160128: SummarizedExperiment with 17814 rows and
>>>> 453 columns
>>>>   [3] BRCA_RPPAArray-20160128: SummarizedExperiment with 226 rows and 362
>>>> columns
>>>>   [4] BRCA_Methylation_methyl27-20160128: SummarizedExperiment with
>>>> 27578 rows and 261 columns
>>>> Functionality:
>>>>   experiments() - obtain the ExperimentList instance
>>>>   colData() - the primary/phenotype DataFrame
>>>>   sampleMap() - the sample coordination DataFrame
>>>>   `$`, `[`, `[[` - extract colData columns, subset, or experiment
>>>>   *Format() - convert into a long or wide DataFrame
>>>>   assays() - convert ExperimentList to a SimpleList of matrices
>>>>   exportClass() - save all data to files
>>>>
>>>>
>>>> Browse[1]> assays(experiments(brca)[[4]])Error in
>>>> .Call2("C_h5getdimscales", filepath, name, scalename, PACKAGE =
>>>> "HDF5Array") :
>>>>    failed to open file '/root/.cache/ExperimentHub/661a6f10d826_2122'
>>>>
>>>>
>>>> Browse[2]> experiments(brca)[[4]]class: SummarizedExperiment
>>>> dim: 27578 261
>>>> metadata(0):
>>>> assays(1): counts
>>>> rownames(27578): cg00000292 cg00002426 ... cg27662877 cg27665659
>>>> rowData names(3): Gene_Symbol Chromosome Genomic_Coordinate
>>>> colnames(261): TCGA-A1-A0SD-01A-11D-A112-05 TCGA-A2-A04N-01A-11D-A112-05
>>>> ...
>>>>    TCGA-E2-A15S-01A-11D-A112-05 TCGA-E2-A15T-01A-11D-A112-05
>>>> colData names(0):
>>>>
>>>>
>>>>> sessionInfo()R version 4.0.5 (2021-03-31)
>>>> Platform: x86_64-pc-linux-gnu (64-bit)
>>>> Running under: Ubuntu 20.04.2 LTS
>>>>
>>>> Matrix products: default
>>>> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/
>>>> libopenblasp-r0.3.8.so
>>>>
>>>> locale:
>>>>   [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
>>>> LC_TIME=en_US.UTF-8
>>>>   [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8
>>>> LC_MESSAGES=C
>>>>   [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
>>>> LC_ADDRESS=C
>>>> [10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8
>>>> LC_IDENTIFICATION=C
>>>>
>>>> attached base packages:
>>>> [1] parallel  stats4    stats     graphics  grDevices utils
>>>> datasets  methods
>>>> [9] base
>>>>
>>>> other attached packages:
>>>>   [1] rhdf5_2.34.0                netDx_1.2.3
>>>>   [3] bigmemory_4.5.36            curatedTCGAData_1.12.1
>>>>   [5] MultiAssayExperiment_1.16.0 SummarizedExperiment_1.20.0
>>>>   [7] Biobase_2.50.0              GenomicRanges_1.42.0
>>>>   [9] GenomeInfoDb_1.26.7         IRanges_2.24.1
>>>> [11] S4Vectors_0.28.1            BiocGenerics_0.36.1
>>>> [13] MatrixGenerics_1.2.1        matrixStats_0.58.0
>>>>
>>>> loaded via a namespace (and not attached):
>>>>    [1] uuid_0.1-4                    AnnotationHub_2.22.1
>>>>    [3] BiocFileCache_1.14.0          NMF_0.23.0
>>>>    [5] plyr_1.8.6                    igraph_1.2.6
>>>>    [7] RCy3_2.10.2                   lazyeval_0.2.2
>>>>    [9] splines_4.0.5                 entropy_1.3.0
>>>>   [11] BiocParallel_1.24.1           scater_1.18.6
>>>>   [13] rncl_0.8.4                    ggplot2_3.3.3
>>>>   [15] gridBase_0.4-7                digest_0.6.27
>>>>   [17] foreach_1.5.1                 htmltools_0.5.1.1
>>>>   [19] viridis_0.6.1                 fansi_0.4.2
>>>>   [21] magrittr_2.0.1                memoise_2.0.0
>>>>   [23] cluster_2.1.1                 doParallel_1.0.16
>>>>   [25] ROCR_1.0-11                   limma_3.46.0
>>>>   [27] annotate_1.68.0               R.utils_2.10.1
>>>>   [29] prettyunits_1.1.1             colorspace_2.0-1
>>>>   [31] blob_1.2.1                    rappdirs_0.3.3
>>>>   [33] xfun_0.23                     dplyr_1.0.6
>>>>   [35] crayon_1.4.1                  RCurl_1.98-1.3
>>>>   [37] bigmemory.sri_0.1.3           graph_1.68.0
>>>>   [39] genefilter_1.72.1             phylobase_0.8.10
>>>>   [41] survival_3.2-10               iterators_1.0.13
>>>>   [43] ape_5.5                       glue_1.4.2
>>>>   [45] registry_0.5-1                gtable_0.3.0
>>>>   [47] zlibbioc_1.36.0               XVector_0.30.0
>>>>   [49] DelayedArray_0.16.3           BiocSingular_1.6.0
>>>>   [51] kernlab_0.9-29                Rhdf5lib_1.12.1
>>>>   [53] shape_1.4.6                   SingleCellExperiment_1.12.0
>>>>   [55] HDF5Array_1.18.1              scales_1.1.1
>>>>   [57] DBI_1.1.1                     edgeR_3.32.1
>>>>   [59] rngtools_1.5                  Rcpp_1.0.6
>>>>   [61] viridisLite_0.4.0             xtable_1.8-4
>>>>   [63] progress_1.2.2                rsvd_1.0.5
>>>>   [65] bit_4.0.4                     glmnet_4.1-1
>>>>   [67] netSmooth_1.10.0              httr_1.4.2
>>>>   [69] RColorBrewer_1.1-2            ellipsis_0.3.2
>>>>   [71] scuttle_1.0.4                 pkgconfig_2.0.3
>>>>   [73] XML_3.99-0.6                  R.methodsS3_1.8.1
>>>>   [75] dbplyr_2.1.1                  locfit_1.5-9.4
>>>>   [77] utf8_1.2.1                    RJSONIO_1.3-1.4
>>>>   [79] howmany_0.3-1                 tidyselect_1.1.1
>>>>   [81] rlang_0.4.11                  softImpute_1.4-1
>>>>   [83] reshape2_1.4.4                later_1.2.0
>>>>   [85] AnnotationDbi_1.52.0          munsell_0.5.0
>>>>   [87] BiocVersion_3.12.0            tools_4.0.5
>>>>   [89] cachem_1.0.5                  generics_0.1.0
>>>>   [91] RSQLite_2.2.7                 ExperimentHub_1.16.1
>>>>   [93] ade4_1.7-16                   evaluate_0.14
>>>>   [95] stringr_1.4.0                 fastmap_1.1.0
>>>>   [97] yaml_2.2.1                    knitr_1.33
>>>>   [99] bit64_4.0.5                   purrr_0.3.4
>>>> [101] sparseMatrixStats_1.2.1       nlme_3.1-152
>>>> [103] mime_0.10                     R.oo_1.24.0
>>>> [105] pracma_2.3.3                  xml2_1.3.2
>>>> [107] compiler_4.0.5                beeswarm_0.3.1
>>>> [109] curl_4.3.1                    interactiveDisplayBase_1.28.0
>>>> [111] tibble_3.1.2                  RNeXML_2.4.5
>>>> [113] stringi_1.6.2                 RSpectra_0.16-0
>>>> [115] lattice_0.20-41               Matrix_1.3-2
>>>> [117] vctrs_0.3.8                   pillar_1.6.1
>>>> [119] lifecycle_1.0.0               rhdf5filters_1.2.1
>>>> [121] BiocManager_1.30.15           combinat_0.0-8
>>>> [123] BiocNeighbors_1.8.2           zinbwave_1.12.0
>>>> [125] data.table_1.14.0             irlba_2.3.3
>>>> [127] bitops_1.0-7                  httpuv_1.6.1
>>>> [129] R6_2.5.0                      promises_1.2.0.1
>>>> [131] gridExtra_2.3                 vipor_0.4.5
>>>> [133] codetools_0.2-18              MASS_7.3-53.1
>>>> [135] assertthat_0.2.1              pkgmaker_0.32.2
>>>> [137] withr_2.4.2                   GenomeInfoDbData_1.2.4
>>>> [139] locfdr_1.1-8                  hms_1.1.0
>>>> [141] beachmat_2.6.4                grid_4.0.5
>>>> [143] tidyr_1.1.3                   DelayedMatrixStats_1.12.3
>>>> [145] rmarkdown_2.8                 Rtsne_0.15
>>>> [147] clusterExperiment_2.10.1      shiny_1.6.0
>>>> [149] ggbeeswarm_0.6.0              tinytex_0.31
>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> *Shraddha Pai, PhD*
>>>> Principal Investigator
>>>> shraddhapai.com; @spaiglass on Twitter
>>>>
>>>>
>>>> *Ontario Institute for Cancer Research*
>>>> MaRS Centre, 661 University Avenue, Suite 510, Toronto, Ontario, Canada
>>>> M5G
>>>> 0A3
>>>> *@OICR_news* <https://twitter.com/oicr_news> | *www.oicr.on.ca*
>>>> <http://www.oicr.on.ca/>
>>>>
>>>>
>>>>
>>>> *Collaborate. Translate. Change lives.*
>>>>
>>>>
>>>>
>>>> This message and any attachments may contain confidentia...{{dropped:11}}
>>>>
>>>> _______________________________________________
>>>> Bioc-devel using r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>>>
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>>
---
Marcel Ramos
Bioconductor Core Team
Roswell Park Comprehensive Cancer Center
Dept. of Biostatistics & Bioinformatics
Elm St. & Carlton St.
Buffalo, New York 14263



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