Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for foundational sequence parsing, conversion, compression handling, and interval-aware file validation.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Reference examples assume recent stable releases of the preferred tools, especially biopython 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 foundational sequence parsing, conversion, compression handling, and interval-aware file validation.
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: biopython
Inputs: sequence or annotation files, format specifications, optional metadata
Outputs: validated or converted files, summary statistics, format sanity-check reports
Do not assume a file is clean just because the extension looks right.
Check headers, coordinates, indexing, compression, and identifier consistency.
Preserve metadata and line ordering where downstream tools depend on it.
Produce quick counts and sanity-check metrics after transformation.
Save validated outputs with explicit naming and build context.
results/ for final tables and serialized objectsfigures/ for plots and static visual exportsqc/ for checks that justify downstream interpretationvalidated or converted filessummary statisticsformat sanity-check reportsAlignment And MappingRead QCDatabase AccessReporting And Figure Exportpysambiopythonまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
日本語の概要は準備中です。原文の説明を表示しています。
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。