Closed jfy133 closed 1 year ago
TODO: add nonpareil R based visualisation support ✅
nf-core lint
overall result: Passed :white_check_mark: :warning:Posted for pipeline commit 40d1bfa
+| ✅ 159 tests passed |+
!| ❗ 2 tests had warnings |!
@nf-core-bot fix linting
Is it the linting that touched so many files? It's a bit confusing, but Lili already approved so that's also fine 🙂 .
Is it the linting that touched so many files? It's a bit confusing, but Lili already approved so that's also fine 🙂 .
This is nf-test for you... I added 3 modules and updated one.
Each comes with the typical ~3 module files, but for each module an additional 3-4 for nf-test and the conda env file, so doubling each. And then I updated quite a few test configs 🤷♀️
Thanks @LilyAnderssonLee !
Add nonpareil metagenome redundancy estimation
Includes non-standard MultiQC output: the tool using R to generate a extrapolation plot.
The output from this is either a PNG or a R S3/S4 object that stores the raw data. There is no way to export the 'extrapolated' data as it is calculated in the plotting function. Therefore it's not really possible to add to MultiQC as otherwise it would require reconstructing the R function in python, and would involve computation in the MultiQC step.
Instead I've gone with adding a custom MultiQC section that embeds the PNG in the plot.
Example report here: multiqc.zip
PR checklist
nf-core lint
).nextflow run . -profile test,docker --outdir <OUTDIR>
).docs/usage.md
is updated.docs/output.md
is updated.CHANGELOG.md
is updated.README.md
is updated (including new tool citations and authors/contributors).