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v.1.3.16 -- updated citation now that there's a pre-print for this so…
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The pre-print is available from bioRxiv at
https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1
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lcolladotor committed Apr 30, 2021
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: spatialLIBD
Title: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved
transcriptomics data
Version: 1.3.15
Date: 2021-04-29
Version: 1.3.16
Date: 2021-04-30
Authors@R:
c(
person("Leonardo", "Collado-Torres", role = c("aut", "cre"),
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7 changes: 7 additions & 0 deletions NEWS.md
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# spatialLIBD 1.3.16

SIGNIFICANT USER-VISIBLE CHANGES

* The citation information has changed now that `spatialLIBD` has a bioRxiv
pre-print at https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1.

# spatialLIBD 1.3.15

SIGNIFICANT USER-VISIBLE CHANGES
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19 changes: 9 additions & 10 deletions README.md
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Expand Up @@ -244,22 +244,21 @@ Please run this yourself to check for any updates on how to cite
print(citation("spatialLIBD"), bibtex = TRUE)
#>
#> Pardo B, Spangler A, Weber LM, Hicks SC, Jaffe AE, Martinowich K,
#> Maynard KR, Collado-Torres L (2021). _spatialLIBD: an R/Bioconductor
#> package to visualize spatially-resolved transcriptomics data_. doi:
#> 10.18129/B9.bioc.spatialLIBD (URL:
#> https://doi.org/10.18129/B9.bioc.spatialLIBD),
#> https://github.com/LieberInstitute/spatialLIBD - R package version
#> 1.3.15, <URL: http://www.bioconductor.org/packages/spatialLIBD>.
#> Maynard KR, Collado-Torres L (2021). "spatialLIBD: an R/Bioconductor
#> package to visualize spatially-resolved transcriptomics data."
#> _bioRxiv_. doi: 10.1101/2021.04.29.440149 (URL:
#> https://doi.org/10.1101/2021.04.29.440149), <URL:
#> https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> @Article{,
#> title = {spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data},
#> author = {Brenda Pardo and Abby Spangler and Lukas M. Weber and Stephanie C. Hicks and Andrew E. Jaffe and Keri Martinowich and Kristen R. Maynard and Leonardo Collado-Torres},
#> year = {2021},
#> url = {http://www.bioconductor.org/packages/spatialLIBD},
#> note = {https://github.com/LieberInstitute/spatialLIBD - R package version 1.3.15},
#> doi = {10.18129/B9.bioc.spatialLIBD},
#> journal = {bioRxiv},
#> doi = {10.1101/2021.04.29.440149},
#> url = {https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1},
#> }
#>
#> Maynard KR, Collado-Torres L, Weber LM, Uytingco C, Barry BK, Williams
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16 changes: 5 additions & 11 deletions inst/CITATION
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pkgVer <- function(pkg) {
if (!exists("meta") || is.null(meta)) meta <- packageDescription(pkg)
ver <- meta$Version
paste0('https://github.com/LieberInstitute/', pkg, ' - R package version ', ver)
}

c(

bibentry(bibtype="manual",
bibentry(bibtype="article",
title = "spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data",
author = personList(
as.person("Brenda Pardo"),
Expand All @@ -18,10 +12,10 @@ c(
as.person("Kristen R. Maynard"),
as.person("Leonardo Collado-Torres")
),
year = format(Sys.Date(), "%Y"),
url = "http://www.bioconductor.org/packages/spatialLIBD",
note = pkgVer('spatialLIBD'),
doi = '10.18129/B9.bioc.spatialLIBD'
year = 2021,
journal = "bioRxiv",
doi = "10.1101/2021.04.29.440149",
url = "https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1"
),
bibentry(bibtype="article",
title = "Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex",
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19 changes: 9 additions & 10 deletions inst/app/www/README.md
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Expand Up @@ -244,22 +244,21 @@ Please run this yourself to check for any updates on how to cite
print(citation("spatialLIBD"), bibtex = TRUE)
#>
#> Pardo B, Spangler A, Weber LM, Hicks SC, Jaffe AE, Martinowich K,
#> Maynard KR, Collado-Torres L (2021). _spatialLIBD: an R/Bioconductor
#> package to visualize spatially-resolved transcriptomics data_. doi:
#> 10.18129/B9.bioc.spatialLIBD (URL:
#> https://doi.org/10.18129/B9.bioc.spatialLIBD),
#> https://github.com/LieberInstitute/spatialLIBD - R package version
#> 1.3.15, <URL: http://www.bioconductor.org/packages/spatialLIBD>.
#> Maynard KR, Collado-Torres L (2021). "spatialLIBD: an R/Bioconductor
#> package to visualize spatially-resolved transcriptomics data."
#> _bioRxiv_. doi: 10.1101/2021.04.29.440149 (URL:
#> https://doi.org/10.1101/2021.04.29.440149), <URL:
#> https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> @Article{,
#> title = {spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data},
#> author = {Brenda Pardo and Abby Spangler and Lukas M. Weber and Stephanie C. Hicks and Andrew E. Jaffe and Keri Martinowich and Kristen R. Maynard and Leonardo Collado-Torres},
#> year = {2021},
#> url = {http://www.bioconductor.org/packages/spatialLIBD},
#> note = {https://github.com/LieberInstitute/spatialLIBD - R package version 1.3.15},
#> doi = {10.18129/B9.bioc.spatialLIBD},
#> journal = {bioRxiv},
#> doi = {10.1101/2021.04.29.440149},
#> url = {https://www.biorxiv.org/content/10.1101/2021.04.29.440149v1},
#> }
#>
#> Maynard KR, Collado-Torres L, Weber LM, Uytingco C, Barry BK, Williams
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2 changes: 1 addition & 1 deletion man/spatialLIBD-package.Rd

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6 changes: 3 additions & 3 deletions vignettes/TenX_data_download.Rmd
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Expand Up @@ -15,7 +15,7 @@ author:
- *libd
- &ccb Center for Computational Biology, Johns Hopkins University
email: lcolladotor@gmail.com
output:
output:
BiocStyle::html_document:
self_contained: yes
toc: true
Expand All @@ -26,8 +26,8 @@ date: "`r doc_date()`"
package: "`r pkg_ver('spatialLIBD')`"
vignette: >
%\VignetteIndexEntry{Using spatialLIBD with 10x Genomics public datasets}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
%\VignetteEngine{knitr::rmarkdown}
---

```{r setup, include = FALSE}
Expand Down Expand Up @@ -213,7 +213,7 @@ If you have the GTF file from 10x Genomics, we show next how you can read the in
```{r "use_10x_gtf", eval = FALSE}
## You could:
## * download the 11 GB file from
##https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2020-A.tar.gz
## https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2020-A.tar.gz
## * decompress it
## Read in the gene information from the annotation GTF file provided by 10x
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