This package contains a SummarizedExperiment from the Yu et al. (2013) paper that performed the rat BodyMap across 11 organs and 4 developmental stages. Raw FASTQ files were downloaded and mapped using STAR. Data is available on ExperimentHub as a data package.
bodymapRat 1.21.0
The bodymapRat package contains gene expression
data on 652 RNA-Seq samples from a comprehensive rat
transcriptomic BodyMap study. These samples include
the sequence identifier information provided in the
header of the FASTQ files which can be used as a
surrogate for batch. These samples have not been
normalized or pre-processed.
The data are provided in a SummarizedExperiment. The
phenotypic information can be extracted using the
colData() function and a description of the phenotypic
data is listed in the table below:
| Title | Description |
|---|---|
| sraExperiment | SRA Experiment ID |
| title | Title of sample provided by the authors |
| geoAccession | GEO Accession ID |
| BioSample | BioSample ID |
| avgLength | Average read length |
| instrument | Machine identifier (from FASTQ header) |
| runID | Run ID (from FASTQ header) |
| fcID | Flow cell ID (from FASTQ header) |
| fcLane | Flow cell lane (from FASTQ header) |
| tile | Tile (from FASTQ header) |
| xtile | xtile (from FASTQ header) |
| ytile | ytile (from FASTQ header) |
| organ | Body organ |
| sex | Gender |
| stage | Stage |
| techRep | Technical replicate number |
| colOrgan | Column of colors to help with plotting |
| rnaRIN | RIN number |
| barcode | barcode number |
The data can be accessed as follows:
library(SummarizedExperiment)
library(bodymapRat)We use the bodymapRat() function to download the
relevant files from Bioconductor’s
ExperimentHub web
resource. Running this function will download a
SummarizedExperiment object, which contains read counts, as
well as the metadata on the rows (genes) and columns (cells).
bm_rat <- bodymapRat()
# Get the expression data
counts = assay(bm_rat)
dim(counts)## [1] 32637 652counts[1:5, 1:5]## SRR1169893 SRR1169894 SRR1169895 SRR1169896 SRR1169897
## ENSRNOG00000000001 1 0 0 1 4
## ENSRNOG00000000007 1 1 0 3 0
## ENSRNOG00000000008 7 4 2 3 7
## ENSRNOG00000000009 0 0 0 0 1
## ENSRNOG00000000010 0 1 0 0 0# Get the meta data along columns
head(colData(bm_rat))## DataFrame with 6 rows and 22 columns
## sraExperiment sraRun title geoAccession sraSample
## <character> <character> <character> <factor> <factor>
## SRR1169893 SRX471368 SRR1169893 Adr_F_002_1 GSM1328469 SRS558114
## SRR1169894 SRX471368 SRR1169894 Adr_F_002_1 GSM1328469 SRS558114
## SRR1169895 SRX471369 SRR1169895 Adr_F_002_2 GSM1328470 SRS558115
## SRR1169896 SRX471369 SRR1169896 Adr_F_002_2 GSM1328470 SRS558115
## SRR1169897 SRX471370 SRR1169897 Adr_F_002_3 GSM1328471 SRS558116
## SRR1169898 SRX471370 SRR1169898 Adr_F_002_3 GSM1328471 SRS558116
## BioSample avgLength organ sex stage techRep
## <factor> <integer> <character> <character> <numeric> <integer>
## SRR1169893 SAMN02642886 50 Adrenal F 2 1
## SRR1169894 SAMN02642886 50 Adrenal F 2 2
## SRR1169895 SAMN02642867 50 Adrenal F 2 1
## SRR1169896 SAMN02642867 50 Adrenal F 2 2
## SRR1169897 SAMN02642894 50 Adrenal F 2 1
## SRR1169898 SAMN02642894 50 Adrenal F 2 2
## colOrgan mix rnaRIN barcode instrument
## <character> <character> <character> <character> <character>
## SRR1169893 brown M1 9.3 11 HWI-ST845
## SRR1169894 brown M1 9.3 11 HWI-ST845
## SRR1169895 brown M1 9.1 5 HWI-ST845
## SRR1169896 brown M1 9.1 5 HWI-ST845
## SRR1169897 brown M1 9.5 3 HWI-ST1131
## SRR1169898 brown M1 9.5 3 HWI-ST1195
## runID fcID fcLane tile xtile
## <character> <character> <character> <character> <character>
## SRR1169893 120326 D0VTJACXX 2 1101 1506
## SRR1169894 120525 D10G7ACXX 2 1101 1394
## SRR1169895 120326 D0VTJACXX 5 1101 1170
## SRR1169896 120525 D10G7ACXX 5 1101 1650
## SRR1169897 120424 C0P4UACXX 4 1101 1675
## SRR1169898 120525 C0TDUACXX 4 1101 1138
## ytile
## <character>
## SRR1169893 2000
## SRR1169894 2133
## SRR1169895 2029
## SRR1169896 2126
## SRR1169897 2216
## SRR1169898 2067The data in this package are used as an example
data set in the
qsmooth Bioconductor package.
sessionInfo()## R version 4.4.0 RC (2024-04-16 r86468)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 22.04.4 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.20-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_GB LC_COLLATE=C
## [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
##
## time zone: America/New_York
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats4 stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] bodymapRat_1.21.0 ExperimentHub_2.13.0
## [3] AnnotationHub_3.13.0 BiocFileCache_2.13.0
## [5] dbplyr_2.5.0 SummarizedExperiment_1.35.0
## [7] Biobase_2.65.0 GenomicRanges_1.57.0
## [9] GenomeInfoDb_1.41.0 IRanges_2.39.0
## [11] S4Vectors_0.43.0 BiocGenerics_0.51.0
## [13] MatrixGenerics_1.17.0 matrixStats_1.3.0
## [15] knitr_1.46 BiocStyle_2.33.0
##
## loaded via a namespace (and not attached):
## [1] KEGGREST_1.45.0 xfun_0.43 bslib_0.7.0
## [4] lattice_0.22-6 vctrs_0.6.5 tools_4.4.0
## [7] generics_0.1.3 curl_5.2.1 tibble_3.2.1
## [10] fansi_1.0.6 AnnotationDbi_1.67.0 RSQLite_2.3.6
## [13] blob_1.2.4 pkgconfig_2.0.3 Matrix_1.7-0
## [16] lifecycle_1.0.4 GenomeInfoDbData_1.2.12 compiler_4.4.0
## [19] Biostrings_2.73.0 htmltools_0.5.8.1 sass_0.4.9
## [22] yaml_2.3.8 pillar_1.9.0 crayon_1.5.2
## [25] jquerylib_0.1.4 DelayedArray_0.31.0 cachem_1.0.8
## [28] abind_1.4-5 mime_0.12 tidyselect_1.2.1
## [31] digest_0.6.35 purrr_1.0.2 dplyr_1.1.4
## [34] bookdown_0.39 BiocVersion_3.20.0 fastmap_1.1.1
## [37] grid_4.4.0 cli_3.6.2 SparseArray_1.5.0
## [40] magrittr_2.0.3 S4Arrays_1.5.0 utf8_1.2.4
## [43] withr_3.0.0 filelock_1.0.3 UCSC.utils_1.1.0
## [46] rappdirs_0.3.3 bit64_4.0.5 rmarkdown_2.26
## [49] XVector_0.45.0 httr_1.4.7 bit_4.0.5
## [52] png_0.1-8 memoise_2.0.1 evaluate_0.23
## [55] rlang_1.1.3 glue_1.7.0 DBI_1.2.2
## [58] BiocManager_1.30.22 jsonlite_1.8.8 R6_2.5.1
## [61] zlibbioc_1.51.0