.autolab/acquired_skills/orthofinder/SKILL.md
# OrthoFinder Skill ## When to Use Use OrthoFinder for identifying orthologous gene groups across multiple genomes, inferring gene trees, and identifying orthogroups (clusters of orthologous genes). ## Standard Workflow 1. Prepare protein FASTA files (one per genome) from gene predictions 2. Run OrthoFinder: `orthofinder -f <protein_fasta_dir>` 3. Parse results from Orthogroups/Orthogroups.tsv 4. Filter orthogroups present in all species (core orthogroups) ## Key Decisions - Use protein seque
npx skillsauth add albert-ying/autonomous-lab .autolab/acquired_skills/orthofinderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use OrthoFinder for identifying orthologous gene groups across multiple genomes, inferring gene trees, and identifying orthogroups (clusters of orthologous genes).
orthofinder -f <protein_fasta_dir>development
Critically review AI-agent-conducted scientific analyses for correctness, rigor, and completeness. Use this skill whenever an analysis session has completed and needs validation, when a user asks to "review," "validate," "check," or "audit" a computational analysis, or when an agent pipeline produces scientific results that require quality control before reporting. Also trigger when the user references an execution trace, notebook, or conversation history from a prior analysis session. This skill should run as the final step of any autonomous scientific analysis pipeline.
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# Variant Calling Skill ## When to Use Use when calling SNPs and indels from aligned BAM files against a reference. ## Standard Workflow 1. Mark duplicates (optional): `samtools markdup` 2. Call variants with freebayes: `freebayes -f reference.fasta -p 1 sample.bam > variants.vcf` OR with bcftools: `bcftools mpileup -f ref.fa sample.bam | bcftools call -mv -Oz -o variants.vcf.gz` 3. Filter variants: `bcftools filter -s LowQual -e 'QUAL<20' variants.vcf` ## Key Decisions - For haploid organ
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# Trimmomatic - Read Quality Trimming ## When to Use Use Trimmomatic to trim adapter sequences and low-quality bases from Illumina sequencing reads. ## Standard Workflow 1. Install: `conda install -c bioconda trimmomatic` 2. Run: `trimmomatic PE <input_R1.fastq.gz> <input_R2.fastq.gz> <output_R1_paired.fastq.gz> <output_R1_unpaired.fastq.gz> <output_R2_paired.fastq.gz> <output_R2_unpaired.fastq.gz> ILLUMINACLIP:<adapters.fa>:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36` ## Key Pa
testing
# SPAdes Assembly Skill ## When to Use Use for de novo genome assembly when no reference genome is available. ## Standard Workflow 1. Run SPAdes: `spades.py -1 R1.fastq.gz -2 R2.fastq.gz -o assembly_output --careful` 2. Check assembly stats: look at scaffolds.fasta or contigs.fasta 3. Use assembled genome as reference for read mapping ## Key Decisions - Use `--careful` flag for bacterial genomes to reduce misassemblies - For small bacterial genomes, default k-mer sizes work well - Output scaf