Details
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Type:
Task
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Status: Closed (View Workflow)
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Priority:
Major
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: None
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Labels:None
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Story Points:1
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Epic Link:
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Sprint:Spring 3
Description
GOAL: Compared to CDHIT, would Cluster Profiler in R be a better or worse option for grouping our de novo gene sets.
https://bioconductor.org/packages/release/bioc/html/clusterProfiler.html
Read through, summarize this tools function? Would it be of value to our project?
Attachments
Activity
| Field | Original Value | New Value |
|---|---|---|
| Epic Link | IGBF-2993 [ 21429 ] |
| Status | To-Do [ 10305 ] | In Progress [ 3 ] |
| Status | In Progress [ 3 ] | Needs 1st Level Review [ 10005 ] |
| Status | Needs 1st Level Review [ 10005 ] | First Level Review in Progress [ 10301 ] |
| Status | First Level Review in Progress [ 10301 ] | Ready for Pull Request [ 10304 ] |
| Status | Ready for Pull Request [ 10304 ] | Pull Request Submitted [ 10101 ] |
| Status | Pull Request Submitted [ 10101 ] | Reviewing Pull Request [ 10303 ] |
| Status | Reviewing Pull Request [ 10303 ] | Merged Needs Testing [ 10002 ] |
| Status | Merged Needs Testing [ 10002 ] | Post-merge Testing In Progress [ 10003 ] |
| Resolution | Done [ 10000 ] | |
| Status | Post-merge Testing In Progress [ 10003 ] | Closed [ 6 ] |
Cluster Profiler does not perform any clustering or grouping, but rather its a series of R tools that perform functional enrichment.
"It provides a tidy interface to access, manipulate, and visualize enrichment results to help users achieve efficient data interpretation."
One tool of interest could be "compareCluster" this tool compares already existing clusters (our CD-HIT results) and computes functional profiles for each one.
However in terms of grouping our de novo gene sets, CD-HIT is still a better option, but ClusterProfiler may come in handy for later analyses.