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https://github.com/lieberinstitute/speaqeasyworkshop2023

BioC2023 SPEAQeasy Workshop by Daianna Gonzalez-Padilla, Renee Garcia-Flores & Nicholas J. Eagles
https://github.com/lieberinstitute/speaqeasyworkshop2023

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BioC2023 SPEAQeasy Workshop by Daianna Gonzalez-Padilla, Renee Garcia-Flores & Nicholas J. Eagles

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README

          

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

# SPEAQeasyWorkshop2023

[![GitHub issues](https://img.shields.io/github/issues/LieberInstitute/SPEAQeasyWorkshop2023)](https://github.com/LieberInstitute/SPEAQeasyWorkshop2023/issues)
[![GitHub pulls](https://img.shields.io/github/issues-pr/LieberInstitute/SPEAQeasyWorkshop2023)](https://github.com/LieberInstitute/SPEAQeasyWorkshop2023/pulls)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check-bioc](https://github.com/LieberInstitute/SPEAQeasyWorkshop2023/actions/workflows/check-bioc.yml/badge.svg)](https://github.com/LieberInstitute/SPEAQeasyWorkshop2023/actions/workflows/R-CMD-check-bioc.yaml)

The goal of `SPEAQeasyWorkshop2023` is to describe how outputs from the [SPEAQeasy](https://github.com/LieberInstitute/SPEAQeasy) pipeline enable differential-expression analyses powered by Bioconductor packages like [limma](https://bioconductor.org/packages/3.17/bioc/html/limma.html), [edgeR](https://bioconductor.org/packages/3.17/bioc/html/edgeR.html), and [clusterProfiler](https://bioconductor.org/packages/3.17/bioc/html/clusterProfiler.html).

## Installation instructions

Get the latest stable `R` release from [CRAN](http://cran.r-project.org/). Then install `SPEAQeasyWorkshop2023` from [Bioconductor](http://bioconductor.org/) using the following code:

```{r 'install', eval = FALSE}
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}

BiocManager::install("SPEAQeasyWorkshop2023")
```

And the development version from [GitHub](https://github.com/LieberInstitute/SPEAQeasyWorkshop2023) with:

```{r 'install_dev', eval = FALSE}
BiocManager::install("LieberInstitute/SPEAQeasyWorkshop2023")
```

## Citation

Below is the citation output from using `citation('SPEAQeasyWorkshop2023')` in R. Please
run this yourself to check for any updates on how to cite __SPEAQeasyWorkshop2023__.

```{r 'citation', eval = requireNamespace('SPEAQeasyWorkshop2023')}
print(citation("SPEAQeasyWorkshop2023"), bibtex = TRUE)
```

Please note that the `SPEAQeasyWorkshop2023` was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.

## Code of Conduct

Please note that the `SPEAQeasyWorkshop2023` project is released with a [Contributor Code of Conduct](http://bioconductor.org/about/code-of-conduct/). By contributing to this project, you agree to abide by its terms.

## Development tools

* Continuous code testing is possible thanks to [GitHub actions](https://www.tidyverse.org/blog/2020/04/usethis-1-6-0/) through `r BiocStyle::CRANpkg('usethis')`, `r BiocStyle::CRANpkg('remotes')`, and `r BiocStyle::CRANpkg('rcmdcheck')` customized to use [Bioconductor's docker containers](https://www.bioconductor.org/help/docker/) and `r BiocStyle::Biocpkg('BiocCheck')`.
* Code coverage assessment is possible thanks to [codecov](https://codecov.io/gh) and `r BiocStyle::CRANpkg('covr')`.
* The [documentation website](http://LieberInstitute.github.io/SPEAQeasyWorkshop2023) is automatically updated thanks to `r BiocStyle::CRANpkg('pkgdown')`.
* The code is styled automatically thanks to `r BiocStyle::CRANpkg('styler')`.
* The documentation is formatted thanks to `r BiocStyle::CRANpkg('devtools')` and `r BiocStyle::CRANpkg('roxygen2')`.

For more details, check the `dev` directory.

This package was developed using `r BiocStyle::Biocpkg('biocthis')`.