Databases to analyze
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- Dominant language
- R
- Stars
- 0
- Forks
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- PR merge metrics
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Description
Sources of gene sets and libraries (not specific pathways but interesting)
1. [EnrichR](http://amp.pharm.mssm.edu/Enrichr/#stats)
2. [MSigDB](http://software.broadinstitute.org/gsea/msigdb/collections.jsp)
3. [reactome.db](https://bioconductor.org/packages/reactome.db)
Contributor guide
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.
Research direction
Start by reviewing the three proposed resources: EnrichR, MSigDB, and reactome.db. Determine what gene sets or libraries each provides and define the comparison needed for the pathway-resource study; done means the selected databases and analysis scope are documented clearly enough to guide implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- bioinformatics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100