GSE159526 1.0.0
GSE159526
We hope that GSE159526 will be useful for your research. Please use the following information to cite the package and the overall approach. Thank you!
## Citation info
citation("GSE159526")
#>
#> Yuan V, Hui D, Penaherrera M, Beristain A, Robinson W (2021).
#> "Cell-specific characterization of the placental methylome." _BMC
#> Genomics_. doi: 10.1186/s12864-020-07186-6 (URL:
#> https://doi.org/10.1186/s12864-020-07186-6), <URL:
#> https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {Cell-specific characterization of the placental methylome},
#> author = {Victor Yuan and Desmond Hui and Maria S. Penaherrera and Alexander G. Beristain and Wendy P. Robinson},
#> year = {2021},
#> journal = {BMC Genomics},
#> doi = {10.1186/s12864-020-07186-6},
#> url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6},
#> }
GSE159526
There are 3 objects associated with GSE159526:
EH6130 - Raw DNA methylation data, .idat files read into r with minfi
and
saved as an rgset
object.
EH6131 - Processed filtered DNA methylation data. Described in (Yuan, Hui, Penaherrera, Beristain, and Robinson, 2021).
EH6132 - Sample information stored as a tibble
/data.frame
object.
eh <- ExperimentHub()
query(eh, "GSE159526")
# raw rgset
library(minfi)
GSE159526_rgset <- eh[['EH6130']] # requires minfi
# normalized processed data matrix
GSE159526_data <- eh[['EH6131']]
# sample information
GSE159526_pdat <- eh[['EH6132']]
The GSE159526 package (Yuan, Hui, Penaherrera, et al., 2021) was made possible thanks to:
This package was developed using biocthis.
Code for creating the vignette:
## Create the vignette
library("rmarkdown")
system.time(render(here::here("vignettes", "GSE159526.Rmd"),
"BiocStyle::html_document"))
## Extract the R code
library("knitr")
knit("GSE159526.Rmd", tangle = TRUE)
Date the vignette was generated.
#> [1] "2021-10-30 11:22:22 EDT"
Wallclock time spent generating the vignette.
#> Time difference of 0.678 secs
R
session information.
#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os Ubuntu 20.04.3 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language (EN)
#> collate C
#> ctype en_US.UTF-8
#> tz America/New_York
#> date 2021-10-30
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────────────────────────────────────────────
#> package * version date lib source
#> BiocManager 1.30.16 2021-06-15 [2] CRAN (R 4.1.1)
#> BiocStyle * 2.22.0 2021-10-29 [2] Bioconductor
#> bookdown 0.24 2021-09-02 [2] CRAN (R 4.1.1)
#> bslib 0.3.1 2021-10-06 [2] CRAN (R 4.1.1)
#> cli 3.1.0 2021-10-27 [2] CRAN (R 4.1.1)
#> digest 0.6.28 2021-09-23 [2] CRAN (R 4.1.1)
#> evaluate 0.14 2019-05-28 [2] CRAN (R 4.1.1)
#> fastmap 1.1.0 2021-01-25 [2] CRAN (R 4.1.1)
#> generics 0.1.1 2021-10-25 [2] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [2] CRAN (R 4.1.1)
#> httr 1.4.2 2020-07-20 [2] CRAN (R 4.1.1)
#> jquerylib 0.1.4 2021-04-26 [2] CRAN (R 4.1.1)
#> jsonlite 1.7.2 2020-12-09 [2] CRAN (R 4.1.1)
#> knitr 1.36 2021-09-29 [2] CRAN (R 4.1.1)
#> lubridate 1.8.0 2021-10-07 [2] CRAN (R 4.1.1)
#> magrittr 2.0.1 2020-11-17 [2] CRAN (R 4.1.1)
#> plyr 1.8.6 2020-03-03 [2] CRAN (R 4.1.1)
#> R6 2.5.1 2021-08-19 [2] CRAN (R 4.1.1)
#> Rcpp 1.0.7 2021-07-07 [2] CRAN (R 4.1.1)
#> RefManageR * 1.3.0 2020-11-13 [2] CRAN (R 4.1.1)
#> rlang 0.4.12 2021-10-18 [2] CRAN (R 4.1.1)
#> rmarkdown 2.11 2021-09-14 [2] CRAN (R 4.1.1)
#> sass 0.4.0 2021-05-12 [2] CRAN (R 4.1.1)
#> sessioninfo * 1.1.1 2018-11-05 [2] CRAN (R 4.1.1)
#> stringi 1.7.5 2021-10-04 [2] CRAN (R 4.1.1)
#> stringr 1.4.0 2019-02-10 [2] CRAN (R 4.1.1)
#> withr 2.4.2 2021-04-18 [2] CRAN (R 4.1.1)
#> xfun 0.27 2021-10-18 [2] CRAN (R 4.1.1)
#> xml2 1.3.2 2020-04-23 [2] CRAN (R 4.1.1)
#> yaml 2.2.1 2020-02-01 [2] CRAN (R 4.1.1)
#>
#> [1] /tmp/RtmpgobCW3/Rinst222750aacb0b2
#> [2] /home/biocbuild/bbs-3.14-bioc/R/library
This vignette was generated using BiocStyle (Oleś, 2021) with knitr (Xie, 2021) and rmarkdown (Allaire, Xie, McPherson, et al., 2021) running behind the scenes.
Citations made with RefManageR (McLean, 2017).
[1] J. Allaire, Y. Xie, J. McPherson, et al. rmarkdown: Dynamic Documents for R. R package version 2.11. 2021. URL: https://github.com/rstudio/rmarkdown.
[2] G. Csárdi, R. core, H. Wickham, et al. sessioninfo: R Session Information. R package version 1.1.1. 2018. URL: https://CRAN.R-project.org/package=sessioninfo.
[3] M. W. McLean. “RefManageR: Import and Manage BibTeX and BibLaTeX References in R”. In: The Journal of Open Source Software (2017). DOI: 10.21105/joss.00338.
[4] A. Oleś. BiocStyle: Standard styles for vignettes and other Bioconductor documents. R package version 2.22.0. 2021. URL: https://github.com/Bioconductor/BiocStyle.
[5] R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria, 2021. URL: https://www.R-project.org/.
[6] H. Wickham. “testthat: Get Started with Testing”. In: The R Journal 3 (2011), pp. 5–10. URL: https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.
[7] Y. Xie. knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.36. 2021. URL: https://yihui.org/knitr/.
[8] V. Yuan, D. Hui, M. Penaherrera, et al. “Cell-specific characterization of the placental methylome”. In: BMC Genomics (2021). DOI: 10.1186/s12864-020-07186-6. URL: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6.