Releases
v1.3.1
Remove bloat from container images (Docker 8.7GB -> 2.2GB. Singularity 6.0GB -> 636MB)
This was due to unnecessary, massive pytorch GPU packages being included with CNVkit's dependencies by default.
Remove bloat from standalone installer script (pytorch GPU packages)
Add bedtools as a dependency
GroupedAnalysisAmpSuite.py will automatically compute feature similarity scores.
GroupedAnalysisAmpSuite.py bugfix when CNV seeds are already provided in input table.
GroupedAnalysisAmpSuite.py detect improperly formatted input table.
Automatically detect samtools version (removes --use_old_samtools
)
Warn user if alt contigs in bam header.
Fix logging of AA version in run_metadata.json.
Better protection for bad inputs (e.g. user gave same fastq twice, bam file with spaces in name)
Fix no amp samples not getting ref genome version in run_metadata.json
Update Rscript package installation in containers.
Bugfix to manual specification of Singularity image file location
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