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# The Carpentries Workbench Template R Markdown Lesson | ||
# Orchestrating Single-Cell Analysis with Bioconductor | ||
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This lesson is a template lesson that uses [The Carpentries Workbench][workbench]. | ||
This is a pre-alpha adaptation of the 2023 ISMB OSCA tutorial using The Carpentries Workbench lesson template. | ||
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## Note about lesson life cycle stage | ||
Although the `config.yaml` states the life cycle stage as pre-alpha, **the template is stable and ready to use**. The life cycle stage is preset to `"pre-alpha"` as this setting is appropriate for new lessons initialised using the template. | ||
### Vignettes converted | ||
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## Create a new repository from this template | ||
As individual vignettes are converted into lessons, they can be added to `config.yaml` to be rendered and shown in the final Github Pages lesson. | ||
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To use this template to start a new lesson repository, | ||
make sure you're logged into Github. | ||
Visit https://github.com/carpentries/workbench-template-rmd/generate | ||
and follow the instructions. | ||
Checking the 'Include all branches' option will save some time waiting for the first website build | ||
when your new repository is initialised. | ||
### Vignettes not yet converted | ||
- Introduction to Bioconductor | ||
- Exploratory data analysis | ||
- Cell type annotation | ||
- Multi-sample analyses | ||
- Working with large data | ||
- Accessing data from the Human Cell Atlas | ||
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If you have any questions, contact [@tobyhodges](https://github.com/tobyhodges) | ||
## Description | ||
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## Configure a new lesson | ||
In the last few years, the profiling of a large number of genome-wide features | ||
in individual cells has become routine. Consequently, a plethora of tools for | ||
the analysis of single-cell data has been developed, making it hard to understand | ||
the critical steps in the analysis workflow and the best methods for each objective | ||
of one’s study. | ||
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Follow the steps below to | ||
complete the initial configuration of a new lesson repository built from this template: | ||
This tutorial aims to provide a solid foundation in using Bioconductor tools | ||
for single-cell RNA-seq analysis by walking through various steps of typical | ||
workflows using example datasets. | ||
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1. **Make sure GitHub Pages is activated:** | ||
navigate to _Settings_, | ||
select _Pages_ from the left sidebar, | ||
and make sure that `gh-pages` is selected as the branch to build from. | ||
If no `gh-pages` branch is available, check _Actions_ to see if the first | ||
website build workflows are still running. | ||
The branch should become available when those have completed. | ||
1. **Adjust the `config.yaml` file:** | ||
this file contains global parameters for your lesson site. | ||
Individual fields within the file are documented with comments (beginning with `#`) | ||
At minimum, you should adjust all the fields marked 'FIXME': | ||
- `title` | ||
- `created` | ||
- `keywords` | ||
- `life_cycle` (the default, _pre-alpha_, is the appropriate for brand new lessons) | ||
- `contact` | ||
1. **Annotate the repository** with site URL and topic tags: | ||
navigate back to the repository landing page and | ||
click on the gear wheel/cog icon (similar to ⚙️) | ||
at the top-right of the _About_ box. | ||
Check the "Use your GitHub Pages website" option, | ||
and [add some keywords and other annotations to describe your lesson](https://cdh.carpentries.org/the-carpentries-incubator.html#topic-tags) | ||
in the _Topics_ field. | ||
At minimum, these should include: | ||
- `lesson` | ||
- the life cycle of the lesson (e.g. `pre-alpha`) | ||
- the human language the lesson is written in (e.g. `deutsch`) | ||
1. **Adjust the name of the `.Rproj` file.** | ||
It is simplest to make this match the name of the repository. | ||
1. **Adjust the | ||
`CODE_OF_CONDUCT.md`, `CONTRIBUTING.md`, and `LICENSE.md` files** | ||
as appropriate for your project. | ||
- `CODE_OF_CONDUCT.md`: | ||
if you are using this template for a project outside The Carpentries, | ||
you should adjust this file to describe | ||
who should be contacted with Code of Conduct reports, | ||
and how those reports will be handled. | ||
- `CONTRIBUTING.md`: | ||
depending on the current state and maturity of your project, | ||
the contents of the template Contributing Guide may not be appropriate. | ||
You should adjust the file to help guide contributors on how best | ||
to get involved and make an impact on your lesson. | ||
- `LICENSE.md`: | ||
in line with the terms of the CC-BY license, | ||
you should ensure that the copyright information | ||
provided in the license file is accurate for your project. | ||
1. **Update this README with | ||
[relevant information about your lesson](https://carpentries.github.io/lesson-development-training/collaborating-newcomers.html#readme)** | ||
and delete this section. | ||
This tutorial uses as a "text-book" the online book "Orchestrating Single-Cell | ||
Analysis with Bioconductor" | ||
([OSCA](https://bioconductor.org/books/release/OSCA/)), | ||
started in 2018 and continuously updated by many contributors from the Bioconductor | ||
community. Like the book, this tutorial strives to be of interest to the | ||
experimental biologists wanting to analyze their data and to the bioinformaticians | ||
approaching single-cell data. | ||
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## Learning objectives | ||
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Attendees will learn how to analyze multi-condition single-cell RNA-seq from | ||
raw data to statistical analyses and result interpretation. Students will learn | ||
where the critical steps and methods choices are and will be able to leverage | ||
large-data resources to analyze datasets comprising millions of cells. | ||
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In particular, participants will learn: | ||
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* How to access publicly available data, such as those from the Human Cell Atlas. | ||
* How to perform data exploration, normalization, and dimensionality reduction. | ||
* How to identify cell types/states and marker genes. | ||
* How to correct for batch effects and integrate multiple samples. | ||
* How to perform differential expression and differential abundance analysis between conditions. | ||
* How to work with large out-of-memory datasets. | ||
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## Source | ||
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This lesson is a template lesson that uses [The Carpentries Workbench][workbench] and is based on materials from the [OSCA tutorial at the ISMB 2023](https://bioconductor.github.io/ISMB.OSCA/). | ||
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[workbench]: https://carpentries.github.io/sandpaper-docs/ |
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