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Releases · nhoffman/dada2-nf
2.0.6
- Replace c5d_2xlarge/c5d_9xlarge labels with single high_cpu label
- Automatic CPU-based concurrency: executor.cpus defaults to all available processors; high_cpu processes cap at min(nproc, available)
- Vectorize seqmap construction in dada2_dada.R for faster dereplicate step
- New
bin/create_manifest.py --batchargument (defaults to 1) - Add OCI labels to Dockerfile for GitHub Container Registry
- Documentation: CPU behavior, --config override example
Full Changelog: 2.0.5...2.0.6
2.0.5
What's Changed
- when splitting, use hit with highest score for each seqname, instead of last by @dhoogest in #93
- Readme update by @crosenth in #95
- Updating deps by @crosenth in #94
- Binned quality option by @dhoogest in #98 (GH #99 )
- Optional binned quality scores parameter for DADA2 error learning (GH #99)
- Pin DADA2 to Bioconductor 1.40.0 stable commit
- Add sha256sum regression checks to CI tests
Full Changelog: 2.0.4...2.0.5