Last updated: 2025-04-14

Checks: 2 0

Knit directory: analysis-user-group/

This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 5628c6d. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    analysis/.DS_Store
    Ignored:    analysis/.Rhistory
    Ignored:    analysis/adit/.DS_Store

Untracked files:
    Untracked:  analysis/adit/head_index.html

Unstaged changes:
    Modified:   workflow.R

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/0_resources.Rmd) and HTML (docs/0_resources.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
html ed690e6 DrThomasOneil 2025-04-14 Build site.
html cb886ef DrThomasOneil 2025-04-10 Build site.
html f6c0433 YuchenLi 2025-04-09 Build site.
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html 7421f69 DrThomasOneil 2025-04-08 Build site.
html f2d3385 DrThomasOneil 2025-03-24 update
html 517dcf9 DrThomasOneil 2025-03-24 Build site.
html 6a4432b DrThomasOneil 2025-03-24 Build site.
html 1f218f3 DrThomasOneil 2025-03-24 Build site.
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html 1d1c076 DrThomasOneil 2025-03-24 Build site.
html 956ba9b DrThomasOneil 2025-03-24 Build site.
Rmd 6b72e34 DrThomasOneil 2025-03-24 wflow_publish(c("analysis/*.Rmd"))
html d600337 DrThomasOneil 2025-03-18 Build site.
html b537f69 DrThomasOneil 2025-03-18 Build site.
html b7982e9 DrThomasOneil 2025-03-16 Build site.
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html 8258922 DrThomasOneil 2025-03-03 Build site.
html 71646a5 DrThomasOneil 2025-02-27 Build site.
Rmd c05aafe DrThomasOneil 2025-02-27 wflow_publish(c("analysis/*.Rmd"))
html c7f5738 DrThomasOneil 2025-02-24 Build site.
html 79d09b1 DrThomasOneil 2025-02-24 Build site.
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html 1aeefc7 DrThomasOneil 2025-02-20 Build site.
html 5fe30de DrThomasOneil 2025-02-20 Build site.
html 5ef4f12 DrThomasOneil 2025-02-11 Build site.
Rmd 4f9c6de DrThomasOneil 2025-02-11 update book
html f48f4f0 DrThomasOneil 2025-02-10 Build site.
html 3bfe847 DrThomasOneil 2025-02-10 Build site.
html b14f3b5 DrThomasOneil 2025-02-10 Build site.
html bfba3e0 DrThomasOneil 2025-02-07 Build site.
Rmd b7989a4 DrThomasOneil 2025-02-07 wflow_publish(c("analysis/*.Rmd"))
html f3d6f87 DrThomasOneil 2025-02-04 Build site.
html f654b8d DrThomasOneil 2025-02-04 Build site.
Rmd e6ea78d DrThomasOneil 2025-02-04 wflow_publish(c("analysis/*.Rmd"))
html 4968925 DrThomasOneil 2025-01-30 Build site.
Rmd afccf59 DrThomasOneil 2025-01-30 wflow_publish(c("analysis/*.Rmd"))
html 299ff3d DrThomasOneil 2025-01-28 Build site.
Rmd 272b312 DrThomasOneil 2025-01-28 wflow_publish(c("analysis/*"))
html 023005d DrThomasOneil 2025-01-07 Build site.
html c893d70 DrThomasOneil 2025-01-06 Build site.
Rmd 8eec2ce DrThomasOneil 2025-01-06 Initial Deployment
html 660b0f8 DrThomasOneil 2025-01-06 Build site.
html 2e79a1d DrThomasOneil 2025-01-06 Build site.
Rmd 451a21f DrThomasOneil 2025-01-06 Initial Deployment

I’ll drop resources that I find that might be useful to others.

Computational Genomics with R

Computational Genomics with R is an exceptionally comprehensive resource for biomedical bioinformatics. It covers a broad range of topics—statistics, machine learning, sequencing data processing, and more—while providing both code examples and clear explanations. Although it may not be the most accessible starting point for wet-lab researchers, it serves as an invaluable reference for deeper explorations of bioinformatic analyses.

Stretchly

Stretchly is an open-source app designed to encourage healthy work habits by prompting regular short (30-second) and long (20-minute) breaks. I’ve found it invaluable for maintaining focus and preventing burnout. It’s highly customizable, allowing you to tailor prompts to your needs.

roadmap.sh

roadmap.sh provides structured learning pathways for various tech-related skills, from Data Science to DevOps. The Data Science and AI roadmap outlines essential topics such as mathematics, statistics, and coding, along with curated free and paid learning resources. These roadmaps are community-driven and frequently updated, making them a great guide for self-paced learning.

LinkedIn Learning

LinkedIn Learning offers a vast library of online courses covering data analysis, programming (including R and Python), statistics, research skills, and professional development. There is a short R for Data Science course that is quite nice.

You should have access to LinkedIn Learning through your University email. Otherwise, WIMR staff can apply for a license through WIMR.

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