GitHub
scverse-compact
Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.
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databases bioinformatics AI 技能
发现 databases bioinformatics 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: databases bioinformatics
databases bioinformatics 清除筛选
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GitHub
scverse
Single-cell analysis patterns with AnnData and Scanpy. Use when working with single-cell RNA-seq data, creating or manipulating AnnData objects, performing quality control, normalization, dimensionality reducti...
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GitHub
dendrite-reforging-protocol
Reforge neural dendrite patterns after catastrophic failure.
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GitHub
classify
Full ACMG/AMP variant classification workflow. Validates input, gathers evidence, applies rules, and generates classification. Invoked via /classify .
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GitHub
research
Run structured research experiments for Sunaba creature evolution. Use for creating experiments, investigating problems, making code changes, running training, and tracking progress across physics, morphology,...
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GitHub
design-synthesis
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...
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GitHub
experiment-design-checklist
Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a research hypothesis. Covers controls,...
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GitHub
implement-paper-from-scratch
Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building u...
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GitHub
research-synthesis
Synthesize research findings for OAK planning using the oak.plan-research workflow. Use when consolidating findings from codebase exploration, comparing approaches, or creating research/*.md documents.
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GitHub
slime-strategy
Use when user wants to set up slime mold exploration strategy with parallel autonomy branches for genetic algorithm approach to problem-solving
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GitHub
fabric-ai
Guides pattern selection through decomposition, exploration, and diverse approach generation
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GitHub
memgraph-aco-queries
Query and analyze ACO pheromone graphs in Memgraph. Use for prime candidate queries, pheromone analysis, path validation, and convergence monitoring.
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GitHub
exploratory-data-analysis
Perform comprehensive exploratory data analysis on research data. Automatically analyze data structure, quality, distributions, and generate insights. Use when the user provides a dataset, asks to "explore data...
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GitHub
lammps-simulation
Run LAMMPS molecular dynamics simulations. Use when asked to run MD simulations, energy minimization, equilibration, production runs, or calculate properties like diffusion, RDF, MSD. Supports both CPU and GPU...
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GitHub
research-strategy
Conduct systematic research with confidence scoring, source validation, and structured reporting for technology decisions and codebase analysis. Use for complex research tasks, technology selection, or best pra...
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GitHub
research-memory-cleanup
Defragment and clean research agent memory - consolidate paper info, organize research domains, remove redundancy from research tracking.
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GitHub
matchms
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries...
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GitHub
batfish-playbook
Batfish 네트워크 분석 도구 사용법
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GitHub
airalogy-protocol
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
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GitHub
similarity
Use when working with component similarity calculations - comparing MPNs, finding equivalent parts, implementing new similarity calculators, or understanding how component matching works.
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GitHub
sparse-expression-visualization
Visualization patterns for sparse single-cell gene expression data. Trigger: boxplots flat at zero, single-cell expression plots, sparse data visualization
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GitHub
gpu-correlation-caching
GPU-accelerated correlation matrix computation with persistent SQLite caching to eliminate bottleneck at correlation calculation during symbol selection
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GitHub
multiplex-imaging-analysis
Optimizing segmentation feature extraction, SOM clustering, and spatial analysis for multiplex immunofluorescence imaging with cell compartment and ECM features
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GitHub
region-aware-matching
Spatial region-aware cell matching for CODEX/scRNAseq integration
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。