Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
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Workflow for orthology, synteny, ancestral reconstruction, and evolutionary comparison across genomes.
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See how to installReview the instructions the agent will receive before you install.
Reference examples assume recent stable releases of the preferred tools, especially orthology and the other tools listed below.
Before using code or command patterns, verify installed versions match the environment:
python -c "import <module>; print(<module>.__version__)"<tool> --versionWorkflow for orthology, synteny, ancestral reconstruction, and evolutionary comparison across genomes.
references/technical_reference.md when you need deeper tool-selection rules, environment adaptation notes, or extra validation guidance.SKILL.md as the main execution path and load the reference file only when the task or failure mode needs the extra detail.Preferred starting point: orthology
Inputs: assemblies, gene annotations, optional phylogenetic context
Outputs: ortholog tables, synteny outputs, evolutionary comparison summaries
Clarify whether the task is gene-level, synteny-level, or phylogenomic.
Use consistent naming, feature models, and assemblies before comparing genomes.
Run orthology, synteny, or evolutionary analyses appropriate to the question.
Separate technical annotation differences from genuine biological divergence.
Save tables and figures that highlight conserved versus lineage-specific patterns.
results/ for final tables and serialized objectsfigures/ for plots and static visual exportsqc/ for checks that justify downstream interpretationortholog tablessynteny outputsevolutionary comparison summariesVariant CallingCopy NumberLong-Read GenomicsGenome AssemblyNo reviews yet. Tell others what you thought.
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Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
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Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
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AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.
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Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
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ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
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End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
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