Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update self-learning chapter #639

Merged
merged 1 commit into from
Nov 14, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
41 changes: 30 additions & 11 deletions inst/pages/training.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -12,8 +12,10 @@ The page provides practical information to support training and self-study.
Brief checklist to prepare for training (see below for links).

- Install the recommended software

- If the time allows, watch the short online videos and familiarize yourself
with the other available material

- Join Gitter online chat for support

## Recommended software {#sec-software}
Expand All @@ -32,21 +34,22 @@ information. RStudio is optional.
- Install key R packages (Section [@sec-ecosystem] provides an
installation script)

- After a successful installation you can consider trying out examples
from Section [@sec-exercises] already before training. **You can run
the workflows by simply copy-pasting examples.** You can then test
further examples from this tutorial, modifying and applying these
techniques to your own data. Plain source code for the individual chapters
of this book are available via
[Github](https://github.com/microbiome/OMA/tree/master/R)

- If you have access to CSC notebook you can find instructions from
[here](https://microbiome.github.io/outreach/).
Once you've successfully installed the software, consider exploring examples
from Section [@sec-exercises] even before starting the training. Running the
workflows is easy — just copy and paste the examples. You can then try
additional examples from the book, adapting and applying the techniques to your
own data. Source code for each chapter is available on
[Github](https://github.com/microbiome/OMA).

## Study material {#sec-material}

We encourage you to familiarize yourself with the material and test examples
in advance but this is optional:
in advance but this is optional. If you're new to this topic, the following
resources may be particularly helpful.

- [Interactive R tutorials for beginners](https://rstudio.github.io/learnr/articles/examples.html)

- [Introduction to R](https://noppe.2.rahtiapp.fi/main/catalog) (available in CSC Noppe, see [@sec-vm])

- [Introduction to data analysis with R and Bioconductor](https://carpentries-incubator.github.io/bioc-intro/) (for beginners with R)

Expand All @@ -61,3 +64,19 @@ in advance but this is optional:
- @sec-exercises for self-study

- @sec-resources and links to complementary external material

## Virtual machines and learning environments {#sec-vm}

In most of the training courses, we use learning environments that have
necessary software installed. Check from course details, if this applied to the
course that you are participating.

In most training courses, we use learning environments with the required software pre-installed. Please check the course details to see if this applies to your course.

- CSC Noppe (formerly Notebooks) is available for users with accounts at Finnish
higher education institutions or state research institutes. For more
information, visit [this page](https://microbiome.github.io/outreach/).

- [Bioconductor workshops](https://workshop.bioconductor.org/) are accessible
with a Bioconductor account, providing pre-installed Bioconductor software and
workshops.
Loading