Co-occurrence visualization
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- bioinformatics, data-visualization
Research direction
Start by reading the linked website issue and the MicroBioMap package context to determine what co-occurrence data and presentation are intended. The issue provides no files, tests, entry points, or acceptance criteria, so confirm the visualization's scope and define what a completed result should show before estimating implementation work.
Written by the indexing model from the issue text.
Description
First mentioned in the context of the website (https://github.com/blekhmanlab/compendium_website/issues/8#issue-1801199264), we can do this flexibly in R.
- Dominant language
- R
- Stars
- 17
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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blekhmanlab/MicroBioMap#29 ·
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blekhmanlab/MicroBioMap#31 · 1 comment · 1 assignee ·
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