bioinformatics-installerlisted

# Bioinformatics Installer for ENCODE Data Analysis Install all bioinformatics tools needed for ENCODE data analysis, organized by assay type. This skill provides ready-to-use conda environment definitions, R/Bioconductor install scripts, Python package lists, and Nextflow pipeline infrastructure setup. Every environment is version-pinned for reproducibility and tested against ENCODE uniform processing standards. ## When to Use - User wants to install bioinformatics tools needed for ENCODE data analysis - User asks about "install tools", "conda environment", "setup bioinformatics", or "install HOMER/MACS2/deeptools" - User needs pre-configured conda environments for specific assay pipelines (ChIP-seq, ATAC-seq, RNA-seq, etc.) - User wants to install R/Bioconductor packages (DESeq2, Seurat, ChIPseeker) or Python packages (Scanpy, pysam) - Example queries: "install tools for ChIP-seq analysis", "set up a conda environment for ATAC-seq", "install deeptools and bedtools" ## Overview ENCODE data analysis requires a broad ecosystem of tools spanning command-line aligners, peak callers, signal processors, statistical analysis frameworks in R, Python visualization and single-cell packages, and workflow engines. Setting up these tools correctly — with compatible versions, proper channel priorities, and no dependency conflicts — is a significant barrier for new users and a reproducibility concern for experienced analysts. This skill solves that by providing: - **7 assay-specific