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meta-analysis
Bayesian meta-analysis models including fixed effects, random effects, and network meta-analysis with Stan and JAGS implementations.
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tools bioinformatics AI 技能
发现 tools 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: tools bioinformatics
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GitHub
ml-nmr-methodology
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.
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GitHub
group-sequential-methods
Group sequential design methods for interim analyses, alpha spending, and futility stopping. Use when designing trials with interim looks or implementing spending functions.
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GitHub
trial-sequential-analysis
Teach Trial Sequential Analysis (TSA) for controlling type I and II errors in cumulative meta-analyses. Use when users need to assess if meta-analysis has sufficient information, want to avoid premature conclus...
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GitHub
ipd-meta-analysis
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 modifi...
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GitHub
life-sciences-connector
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handl...
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GitHub
sfh-gen
Generate fractal horn geometries using space-filling curves and Mandelbrot expansion. Use when designing horn topology, creating geometry variations, or exploring fractal approaches for acoustic optimization. P...
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GitHub
writer
Draft scientific research manuscripts from research data. Use when user wants to write a research paper, has a project folder with papers, data, figures, and a GitHub repository link. Orchestrates context-inges...
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GitHub
bio-cosmic
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants...
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GitHub
bio-vcf
This skill should be used when the user asks to analyze, filter, or inspect VCF/BCF variant files from WGS/WES sequencing. Triggers include requests to calculate variant statistics, filter variants by quality/d...
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GitHub
bio-blast
NCBI BLAST sequence similarity search using BioPython. Use when a user wants to run BLAST programmatically with blastn/blastp and retrieve results in JSON format.
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GitHub
bio-bam
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,...
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GitHub
bio-igv
This skill should be used when the user needs to visualize BAM alignment files in IGV (Integrative Genomics Viewer). Triggers include requests to generate IGV screenshots, visualize genomic regions with multipl...
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GitHub
bio-blat
Runs local BLAT searches for DNA sequence alignment against hg38 or CHM13 using local .2bit references. Use when a user wants to align a DNA sequence without relying on UCSC API access.
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GitHub
obsidian-analysis-pipeline
Orquesta analisis semantico del vault (conceptos, grafo, embeddings y busqueda) con procesamiento por lotes y manejo de errores.
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GitHub
mapping-fixer
Diagnose and fix broken bone/blend shape/annotation mappings on 3D characters. Analyzes model data, compares against presets, extracts animation data, and generates corrected mappings. Use when annotations don'...
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GitHub
taxonomist
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, o...
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GitHub
unsloth-orpo
One-step preference alignment using Odds Ratio Preference Optimization (ORPO) (triggers: ORPO, preference optimization, alignment, ORPOTrainer, log_odds_ratio, binary preference).
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GitHub
ml-tree-level4
Advanced Maximum Likelihood phylogenetics with model selection (AIC/BIC), tree search algorithms (NNI/SPR/TBR), and performance optimization (Numba/GPU)
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GitHub
ml-integration-patterns
Machine learning integration patterns for rRNA-Phylo covering three use cases - rRNA sequence classification (supervised learning with sklearn/PyTorch), multi-tree consensus (ensemble methods), and generative t...
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GitHub
tree-visualization
Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations,...
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GitHub
rrna-prediction-patterns
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 detect...
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GitHub
phylogenetic-methods
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 alig...
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GitHub
optimizationexperiment-analysis
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
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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。