bioinformatics

Identify your domain in the skill index, then shallow-clone the relevant repository and read the specific skill file. bioSkills provides reference guides with code patterns and parameters, while ClawBio provides executable pipelines with demo flags.

bioSkills contains 385 reference skills with code patterns, parameter guides, and decision trees in Python, R, and CLI. ClawBio contains 33 runnable pipeline skills with Python scripts, demos, and reproducibility bundles exporting report.md, commands.sh, and environment.yml.

Yes, many ClawBio skills are executable and include --demo flags. Run pip install -r requirements.txt in the cloned repo first, and confirm the required bioinformatics tools are installed on your system.

No, the declared platforms are Linux and macOS. The underlying bioinformatics toolchain such as samtools, bcftools, and Bioconductor packages is also primarily supported on Unix-like systems.

Common dependencies include Python packages like biopython, pysam, anndata, and scanpy, R/Bioconductor packages like DESeq2 and edgeR, and CLI tools like samtools, bcftools, and minimap2 installable via apt, brew, or Bioconda.

Genomic data files such as reference genomes, SRA datasets, and tool indices can be very large and quickly consume disk space. Plan storage capacity before downloading datasets or building alignment indices.