Part4 Freec as default: Chromosome wide CNV plots per histology #4
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Purpose/implementation Section
What scientific question is your analysis addressing?
Similar to #3 we are propogating the changes proposed in AlexsLemonade#987 to use freec CN calls as default to some modules that plot the CNV changes.
In this PR we will use the updated consensus_seg_most_focal_cn_status.tsv.gz from #2 as input to recreate chromosome wide plots.
What was your approach?
Just re-run
cn_status_heatmap.Rmd
andgistic_plot.Rmd
What GitHub issue does your pull request address?
related to AlexsLemonade#964
Directions for reviewers. Tell potential reviewers what kind of feedback you are soliciting.
Which areas should receive a particularly close look?
Is there anything that you want to discuss further?
Not sure which data release was used to generate these plots before but there are some histologies (like "CNS neuroblastoma" ) which have now been renamed (Neuroblastoma) so please be keep a note of that while tracking files that have/have ot changed by this update.
There are also sample number changes which are not related to the update here but are dependent on data release.
Is the analysis in a mature enough form that the resulting figure(s) and/or table(s) are ready for review?
Results
What types of results are included (e.g., table, figure)?
Yes
What is your summary of the results?
I continue to see gains (because I guess I'm looking for those) in the updated files for example chr15 in
LGAT_plot.png
didn't have any gain in the plot in master branch but the file in this branch does have gains.file in
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chrom_plot
branchfile in
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master
branchReproducibility Checklist
Documentation Checklist
README
and it is up to date.analyses/README.md
and the entry is up to date.