Bayesian inference methods including prior selection, MCMC, and model comparison
Use when performing Bayesian statistical analysis, building probabilistic models, or when the task involves prior specification, posterior inference, or predictive checks.
Skill para retornar estatísticas e dados sobre participantes do Big Brother Brasil de todas as edições, acompanhadas de um comentário que forneça mais contexto para o usuário.
Write benchmarks that do not lie, controlling warmup, isolation, and statistics so the number reflects the code and not the environment.
Audit government benefits and entitlement systems for fraud prevention, detection, and recovery capabilities.
Use when you have a pre-trained TCN spectrum encoder, annotated MS/MS spectra paired with ground-truth molecular formulas, and you want to train only the formula ranking and…
Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics.
Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics.
Generate alignment statistics using samtools flagstat, stats, depth, coverage, and mosdepth. Use when assessing alignment quality, calculating coverage, or generating QC reports.
Test whether two or more traits share a causal variant at a locus using Bayesian colocalization (coloc.abf, coloc.susie, HyPrColoc, moloc, eCAVIAR, SMR/HEIDI, PWCoCo, SharePro).
Estimate bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL, LAVA, rho-HESS, GREML-bivariate,…
Fits structural equation models to GWAS summary statistics using GenomicSEM (Grotzinger 2019), including common-factor models, confirmatory factor models, ESEM, common-fa — from…
Estimate SNP heritability and partition it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes.
Estimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR.
Estimate causal effects of an exposure on an outcome from GWAS summary statistics using genetic instruments.
Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples.
Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions.
ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discove — from…
Detect introgression and admixture between species or populations using Dsuite (Malinsky 2021 fast D-statistics), Patterson's D / ABBA-BABA test (Green 2010; Durand 2011) — from…
Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes.
Cross-method decision tree for calling hits in pooled CRISPR screens. Catalogs statistical models (MAGeCK RRA, MAGeCK MLE, BAGEL2, drugZ, JACKS, Chronos, CERES), experimental…
Add p-value brackets, significance asterisks, and effect-size annotations to distribution plots using ggpubr, ggsignif, and statannotations with correct test selection (parametric…
Detects differential alternative splicing between conditions using rMATS-turbo (binomial LRT on junction counts), leafcutter (Dirichlet-multinomial GLM on intron clusters — from…
Assesses genetic health of populations for conservation with Ne estimation across time horizons (LDNe NeEstimator V2 option-file API + SNeP physical-linkage correction; recent…
Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods.
Defines cell populations in flow and spectral cytometry through manual gates (rectangle, polygon, quadrant, boolean) and reproducible automated gating (openCyto gating templates,…
Process Hi-C read pairs using pairtools. Parse alignments, filter duplicates, classify pairs, and generate contact statistics from Hi-C sequencing data.
Process Hi-C read pairs using pairtools. Parse alignments, filter duplicates, classify pairs, and generate contact statistics from Hi-C sequencing data.
Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize diffe — from…
Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize diffe — from…
Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing.
Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing.
Evaluates scientific research rigor using systematic frameworks. Assesses methodology, statistics, biases, and evidence quality.
Phases small variants, SVs, and methylation from Oxford Nanopore and PacBio long reads (read-backed/physical phasing) with WhatsHap, LongPhase, or HiPhase, and haplotags the BAM…
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods.
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods.
Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery.
Per-CpG differential methylation testing from bisulfite sequencing count data or beta-value matrices.
DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons.
DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons.
Chooses the enrichment generation before any tool runs, mapping the input shape to a method class - a pre-selected gene list plus a background to over-representation analysis…
Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression — from…
Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression — from…
Calculate linkage disequilibrium statistics (r², D'), perform LD pruning for population structure analysis, identify haplotype blocks, and visualize LD patterns using PLI — from…
Python population genetics with scikit-allel. Read VCF files, compute allele frequencies, calculate diversity statistics, perform PCA, and run selection scans using Genot — from…
Detect signatures of natural selection using Fst, Tajima's D, iHS, XP-EHH, and other selection statistics.
Builds publication-ready tables - descriptive Table 1, regression and differential-expression result tables, and supplementary tables - with gtsummary, gt, flextable, and…
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython.
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython.
Maps TCR/BCR receptor sequences toward candidate antigen specificity and clusters repertoires by shared-specificity signal, while enforcing that a database match or a cluster…
Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck.
Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck.
End-to-end post-GWAS causal inference pipeline orchestrating heritability partitioning, genetic correlation, Mendelian randomization with CHP-aware sensitivity (CAUSE / L — from…
End-to-end imaging mass cytometry workflow from raw acquisitions to spatial cell analysis. Orchestrates image preprocessing, segmentation, phenotyping, and spatial statis — from…
End-to-end metabolomics workflow from raw MS data to pathway analysis. Orchestrates XCMS preprocessing, annotation, normalization, statistical analysis, and pathway mappi — from…
Use when a task needs the judgment of a Biostatistician — designing a clinical trial's sample size and analysis plan, choosing a survival-analysis or censoring-aware method,…
Biostatistics methods for clinical trials, epidemiology, and life sciences research. Reference when designing clinical trials, performing survival analysis, evaluating diagnostic…
Monitor Bitaxe Gamma Bitcoin miner status via HTTP API. Use when the user wants to check the status, hashrate, temperature, power consumption, or statistics of a Bitaxe Gamma…
Use when apply this filter after feature detection and before downstream statistical analysis when your experimental design includes blank samples (e.
Queries U.S. Bureau of Labor Statistics data using the BLS MCP server. Use when user asks about CPI, inflation, unemployment, employment, wages, jobs, labor statistics, producer…