spata2-docs-local
SPATA2 空间转录组学分析工具包 - 100%覆盖414个核心文件(388个API参考+25个教程+1个主页)
SPATA2 空间转录组学分析工具包 - 100%覆盖414个核心文件(388个API参考+25个教程+1个主页)
BANKSY spatial transcriptomics analysis tool - complete documentation with precise file name-based categorization
Phase 3 of MIP pipeline - Cluster all metaphor annotations into 4 major CMT systems, with quantitative analysis.
evidence-scoutの結果を受け、研究ギャップを体系的にマッピングし、 新規性の高い研究機会を特定・スコアリングする。EHR-RWDの優位性を活かした差別化ポイントを明確化。
Process genome assembly datasets for VEuPathDB resources
Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and prediction to target populations. Use when conducting or reviewing ML-NMR analyses.
This skill should be used when the user asks to analyze BAM/SAM/CRAM alignment files from WGS/WES sequencing. Triggers include requests to extract reads from specific regions, identify insertions and deletions, calculate coverage statistics, or export read data as JSON for downstream analysis.
Group sequential design methods for interim analyses, alpha spending, and futility stopping. Use when designing trials with interim looks or implementing spending functions.
Optimizing segmentation feature extraction, SOM clustering, and spatial analysis for multiplex immunofluorescence imaging with cell compartment and ECM features
Best practices for writing efficient, clean Stan programs
Convert verbose memories to SSL v0.2 format - I am encoder AND decoder
Deep methodology knowledge for network meta-analysis including transitivity, consistency assessment, treatment rankings, and model selection. Use when conducting or reviewing NMA.
Face alignment, landmark extraction, and quality gating. Use when debugging alignment issues, reviewing rejected faces, or tuning quality thresholds.
scVelo RNA速度分析工具包 - 100%覆盖文档(78个文件:完整API+教程+动态建模+可视化)
scGLUE 单细胞多组学数据整合工具包 - 100%覆盖文档(完整API+教程+数据整合+图谱分析)
Comprehensive guide to phylogenetic tree building methods including distance-based (UPGMA, Neighbor-Joining), maximum likelihood (RAxML, IQ-TREE), and Bayesian inference (MrBayes). Covers multiple sequence alignment, distance matrices, bootstrap analysis, consensus methods, tree formats (Newick, Nexus), and tree comparison metrics. Includes implementation patterns for tree visualization and evaluation.
Comprehensive skill for working with Balkan Family Tree JS libraries (V1 and V2). Use when creating family tree visualizations, genealogy applications, org charts with family relationships, or when migrating between library versions. Covers initialization, data structures, templates, events, node manipulation, and V1→V2 migration patterns.
Phase 2 of MIP pipeline - Orchestrate parallel annotation of all 9 chapters using subagents. Each chapter analyzed independently for metaphors.
Seurat 文档本地镜像(Satija Lab docs,包含 seurat/ 子目录与 archive)
Match essential genes in target genome using orthology and literature
Patterns for hierarchical/multilevel Bayesian models including random effects, partial pooling, and centered vs non-centered parameterizations.
Advanced visibility analysis using head pose, face mesh, and temporal patterns. Use for face-visible vs body-only breakdowns.