gwas-database
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
"Hierarchical task decomposition with control flow nodes and dual memory systems from ReAcTree research. Trigger keywords: ReAcTree, parallel execution, working memory, episodic memory, LOOP, CONDITIONAL, FEEDBACK, hierarchical agents, coordination, control flow, agent trees"
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Reforge neural dendrite patterns after catastrophic failure.
AI-powered pipeline diagnostics. Explains why faces weren't detected, tracked, embedded, or clustered using OpenAI GPT-4o analysis. Use when debugging pipeline issues, reviewing unclustered tracks, or understanding why quality gates rejected faces.
Identifies, visualizes, and optimizes task dependencies for parallel execution and critical path analysis. Use when analyzing task relationships, finding parallelization opportunities, detecting circular dependencies, or optimizing execution order.
Use when performing meta-analysis, pooling study data, generating forest plots, funnel plots, assessing heterogeneity, or conducting subgroup and sensitivity analyses. Invoke for any statistical synthesis of multiple studies.
Expert taxonomist that creates comprehensive, well-structured taxonomies with hierarchical classification systems and optional semantic relationships. Use this when users need to build taxonomies, ontologies, or classification systems for any domain (data management, financial services, healthcare, technology, etc.). Outputs text files with relations in the format `source|is a|target`
Use when extracting entities and relationships, building ontologies, compressing large graphs, or analyzing knowledge structures - provides structural equivalence-based compression achieving 57-95% size reduction, k-bisimulation summarization, categorical quotient constructions, and metagraph hierarchical modeling with scale-invariant properties. Supports recursive refinement through graph topology metrics including |R|/|E| ratios and automorphism analysis.
Deep security analysis with high reasoning effort for threat detection
Teach Individual Patient Data (IPD) meta-analysis methods for analyzing raw participant-level data from multiple studies. Use when users have access to original datasets, need to explore treatment-effect modifiers, or want to conduct time-to-event analyses.
Teleological physiology analysis framework for understanding biological systems through multi-constraint optimization. Use when analyzing physiological mechanisms, explaining apparent biological "inefficiencies", preparing for medical examinations (CICM/ANZCA Primary), understanding why biological systems are designed the way they are, or when seeking deeper mechanistic understanding beyond descriptive knowledge. Triggers on questions like "why is X designed this way", "what purpose does Y serve", "how is Z optimized", analysis of physiological trade-offs, or exploration of evolutionary/design constraints.
Guidelines for rRNA detection and prediction including prokaryotic (16S, 23S, 5S) and eukaryotic (18S, 28S, 5.8S, 5S) ribosomal RNA. Covers sequence patterns, secondary structure, HMM models, blast-based detection, length validation, and quality scoring for rRNA identification.
Bayesian meta-analysis models including fixed effects, random effects, and network meta-analysis with Stan and JAGS implementations.
Monocle3 ๅ็ป่่ฝจ่ฟนๅๆๅทฅๅ ทๅ - 100%่ฆ็ๆๆกฃ๏ผ18ไธชๆไปถ๏ผๅฎๆดๆ็จ+API+่ฝจ่ฟนๆจๆญ๏ผ
scvi-tools ๅ็ป่ๆทฑๅบฆๅญฆไน ๆกๆถ - 100%่ฆ็ๆๆกฃ๏ผๅฎๆดAPI+ๆ็จ+ๆจกๅ่ฎญ็ป+ๅคๆจกๆๆดๅ๏ผ
Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations, branch coloring, clade highlighting, and interactive visualizations. Based on best practices from Yulab's Tree Data Book.
RAPIDS Single-Cell GPU ๆๆกฃๅฎๆด้ๅ
ๅ็ป่ๅๆๆไฝณๅฎ่ทต้ๅโโ็ฎๅฝ็ดขๅผ่ชๅจๅ็ฐ๏ผๅฎๆดๆๅHTML/MDไธไปฃ็ ๅ
Giotto Suite ็ฉบ้ด่ฝฌๅฝ็ปๅญฆๅๆๅทฅๅ ทๅ - 100%่ฆ็718ไธชๆไปถ๏ผ37ไธชๆ็จ+285ไธชๆ ธๅฟAPI+4ไธชๆฐๆฎๆๆกฃ+344ไธชๆฉๅฑๅฝๆฐ+49ไธชๅทฅๅ ทๅฝๆฐ๏ผ
Run DEM lineament analysis to identify unmapped fault structures. Use when visually confirming orphan earthquake clusters, mapping fault extensions, or finding dark earthquake sources. Triggers on "DEM analysis", "lineament", "edge detection", "drainage analysis".
Developing Heart Atlas - comprehensive cardiac development analysis with spatial multi-omics integration
scvi-tools ๆทฑๅบฆๅญฆไน ๅ็ป่ๅๆๅทฅๅ ทๅ - 100%่ฆ็ๆๆกฃ๏ผ321ไธชๆไปถ๏ผๅฎๆดAPI+็จๆทๆๅ+ๆ็จ+ๅผๅ่ ๆๆกฃ๏ผ
SpatialData ็ฉบ้ด็ปๅญฆๆฐๆฎๆกๆถ - 100%่ฆ็271ไธชๆ ธๅฟๆไปถ๏ผAPIๆๆกฃ+ๆ็จ+็คบไพ+ๆ ธๅฟๆฆๅฟต๏ผ