菜单
Load when summarising STAR / HISAT2 / Salmon alignment-rate logs in bulk RNA-seq. Skip if data is raw FASTQ (use bulkrna-read-qc) or already counted (use bulkrna-qc), or for genome-DNA alignment (use genomics-alignment).
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- --skill bulkrna-read-alignment命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Operate MedSAM2 for promptable segmentation of 3D medical images and medical videos, including CT lesion propagation, MRI volumes, RECIST-guided prompts, efficient CPU-oriented variants, training, and 3D Slicer integration. Use when generating or validating volumetric masks from sparse prompts or propagating masks through image slices or video frames.
Build reproducible healthcare imaging pipelines with Project MONAI for DICOM, NIfTI, pathology, and multidimensional imaging tasks including preprocessing, augmentation, training, sliding-window inference, evaluation, model bundles, labeling, and deployment. Use when implementing medical image classification, segmentation, registration, detection, generative, or foundation-model workflows in PyTorch.
Operate Google TxGemma prediction and chat models for therapeutic property prediction across small molecules, proteins, nucleic acids, diseases, targets, and cell lines. Use when formatting Therapeutics Data Commons tasks, choosing TxGemma model size or variant, running local or Model Garden inference, fine-tuning on private therapeutic data, or evaluating TxGemma in drug-discovery workflows.
| name | bulkrna-read-alignment |
| description | Load when summarising STAR / HISAT2 / Salmon alignment-rate logs in bulk RNA-seq. Skip if data is raw FASTQ (use bulkrna-read-qc) or already counted (use bulkrna-qc), or for genome-DNA alignment (use genomics-alignment). |
| version | 0.3.0 |
| author | OmicsClaw |
| license | MIT |
| tags | ["bulkrna","alignment","STAR","HISAT2","Salmon","mapping-rate","strandedness"] |
| requires | ["numpy","pandas","matplotlib"] |
Run after the aligner / quantifier finishes, on the log file produced by
STAR (Log.final.out), HISAT2 (.log), or Salmon (meta_info.json).
Yields a one-page mapping-rate summary, strandedness inference, and a
gene-body coverage profile — the QC bridge between raw FASTQ and the
count matrix.
| Input | Format | Required |
|---|---|---|
| Aligner log | Log.final.out (STAR), .log (HISAT2), meta_info.json (Salmon) | yes (or --demo) |
| Output | Path | Notes |
|---|---|---|
| Mapping summary figure | figures/mapping_summary.png | unique vs multi vs unmapped |
| Gene body coverage | figures/gene_body_coverage.png | 5'→3' bias profile |
| Alignment composition | figures/alignment_composition.png | breakdown of mapping outcomes |
| Stats table | tables/alignment_stats.csv | parsed numeric metrics |
| Report | report.md + result.json | always |
bulkrna_read_alignment.py:305-311): log.final.out → STAR; meta_info → Salmon; otherwise → HISAT2.report.md + tables/alignment_stats.csv.bulkrna_read_alignment.py:305-311 dispatches by input_path.name.lower() — anything that is neither log.final.out nor meta_info (case-insensitive substring) is silently parsed as a HISAT2 log. A renamed STAR log will produce nonsense. Pass --method star explicitly if your STAR file isn't named conventionally..bam or .sam file as --input will not raise — the parser just finds zero matchable lines and reports an empty stats dict. Sanity-check result.json["summary"]["total_reads"] is non-zero before trusting any downstream summary.--demo mode (bulkrna_read_alignment.py:142-150). The 5'→3' bias profile in demo runs is a fixed reproducible curve, not derived from real input — useful for layout previews but not for assessing real RNA degradation.python omicsclaw.py run bulkrna-read-alignment --demo
python omicsclaw.py run bulkrna-read-alignment --input Log.final.out --output results/
references/parameters.md — every CLI flag and tuning hintreferences/methodology.md — STAR / HISAT2 / Salmon parsers, strandedness inferencereferences/output_contract.md — exact output directory layoutbulkrna-read-qc (upstream FASTQ QC), bulkrna-qc (downstream count-matrix QC), genomics-alignment (DNA-alignment sibling: BAM/SAM, not log files)