安装了412种生物信息学技能,涵盖序列分析、RNA测序、单细胞、变异检测、宏基因组学、结构生物学等54个类别。
生物技能安装器是一项面向实际任务的技能,主要用于安装完整生物技能集的Meta- skill( 62类425种技能) 用于生物信息分析;运行捆绑的安装脚本下载和安装。
从功能定位来看,该技能强调把分散的操作要求整理成清晰、可复用的处理流程,使用户能够围绕既定目标快速准备输入、选择执行方式并获得结构化结果。实际使用前应先确认任务范围、数据来源、运行环境、必要权限和关键参数,再依据技能说明逐步执行;
若输入条件不完整,应先补齐信息或采用保守配置,避免因错误假设导致结果偏离需求。执行过程中需要关注工具调用是否成功、接口或依赖是否可用、输出格式是否符合预期,并对异常提示、缺失字段和边界情况进行处理;涉及批量任务时,还应保存进度,避免中断后重复操作。
一种元技能(meta-skill),用于安装完整的 bioSkills 技能集(涵盖 62 个类别,共计 425 项技能),专为生物信息学分析设计。
运行随附的安装脚本,以下载并安装全部 bioSkills:
bash scripts/install-bioskills.sh
或仅安装指定类别:
bash scripts/install-bioskills.sh --categories "single-cell,variant-calling,differential-expression"
| 类别组 | 具体类别 | 技能数量 |
|---|---|---|
| 序列与比对 | sequence-io, sequence-manipulation, alignment, alignment-files, database-access | 40 |
| 测序读段处理 | read-qc, read-alignment | 11 |
| RNA-seq 与表达分析 | differential-expression, rna-quantification, expression-matrix | 14 |
| 单细胞与空间转录组学 | single-cell, spatial-transcriptomics | 25 |
| 变异分析 | variant-calling, copy-number, phasing-imputation | 21 |
| 表观基因组学 | chip-seq, atac-seq, methylation-analysis, hi-c-analysis | 25 |
| 宏基因组学与微生物组 | metagenomics, microbiome | 13 |
| 基因组学与组装 | genome-assembly, genome-annotation, genome-intervals, genome-engineering, primer-design | 29 |
| 调控与因果推断 | gene-regulatory-networks, causal-genomics, rna-structure | 13 |
| 时间维度与生态基因组学 | temporal-genomics, ecological-genomics | 11 |
| 免疫学与临床基因组学 | immunoinformatics, clinical-databases, tcr-bcr-analysis, epidemiological-genomics | 25 |
| 专业化组学 | proteomics, metabolomics, alternative-splicing, chemoinformatics, liquid-biopsy | 36 |
| RNA 生物学 | small-rna-seq, epitranscriptomics, clip-seq, ribo-seq | 20 |
| 系统发育学与进化 | phylogenetics, population-genetics, comparative-genomics | 16 |
| 结构生物学与系统生物学 | structural-biology, systems-biology | 11 |
| 筛选实验与流式细胞术 | crispr-screens, flow-cytometry, imaging-mass-cytometry | 22 |
| 通路分析与多组学整合 | pathway-analysis, multi-omics-integration, restriction-analysis | 14 |
| 基础设施支持 | data-visualization, machine-learning, workflow-management, reporting, experimental-design, long-read-sequencing | 39 |
| 工作流 | 端到端流程(FASTQ → 结果) | 40 |
安装完成后,系统将根据当前任务自动触发相应技能。示例请求如下:
GitHub:https://github.com/GPTomics/bioSkills
安装完成后,以下 425 项独立技能将在对应类别中可用: sequence-io, sequence-manipulation, database-access, alignment, alignment-files, variant-calling, phylogenetics, differential-expression, structural-biology, single-cell, pathway-analysis, restriction-analysis, methylation-analysis, chip-seq, metagenomics, long-read-sequencing, read-qc, read-alignment, rna-quantification, genome-assembly, genome-intervals, data-visualization, expression-matrix, copy-number, proteomics, flow-cytometry, population-genetics, multi-omics-integration, spatial-transcriptomics, machine-learning, workflow-management, microbiome, metabolomics, phasing-imputation, primer-design, hi-c-analysis, imaging-mass-cytometry, atac-seq, crispr-screens, reporting, experimental-design, clinical-databases, tcr-bcr-analysis, small-rna-seq, epitranscriptomics, clip-seq, ribo-seq, genome-engineering, systems-biology, epidemiological-genomics, immunoinformatics, comparative-genomics, alternative-splicing, chemoinformatics, liquid-biopsy, genome-annotation, gene-regulatory-networks, causal-genomics, rna-structure, temporal-genomics, ecological-genomics, workflows