Dados e Análise

Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.

Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.

Assistente especializado para Solana JSON-RPC, compatível com qualquer provedor como QuickNode ou Helius. Utilize-o para obter dados brutos da Solana, incluindo transações, estados de conta e saldos de tokens SPL.

Universal QA checklist for generated scientific plots: overlapping labels, clipped text, missing axes/legends, overcrowded data, and cross-journal resolution/format guidance.

When the user wants to optimize meta tags other than title, description, Open Graph, or Twitter Cards. Also use when the user mentions "hreflang," "meta robots," "viewport," "charset," "canonical meta," "other meta tags," "meta robots noindex," "meta robots nofollow," "hreflang tags," "viewport meta," or "meta charset." For title tags, use title-tag. For meta descriptions, use meta-description. Fo

Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

Multi-modal single-cell analysis with muon/MuData. Joint RNA+ATAC (10x Multiome), CITE-seq (RNA+protein), other multi-omics. MuData holds per-modality AnnData with shared obs. WNN joint embedding, per-modality preprocessing, MOFA factor analysis. Use scanpy-scrna-seq for single-modality RNA; use muon when combining 2+ omics from the same cells.

Remove batch effects from RNA-seq data using ComBat, ComBat-Seq, limma removeBatchEffect, and SVA for unknown batch variables. Use when correcting batch effects in expression data.

End-to-end spatial transcriptomics workflow for Visium/Xenium data. Covers data loading, preprocessing, spatial analysis, domain detection, and visualization with Squidpy. Use when analyzing spatial transcriptomics data.

Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.

Consulte e analise dados no Azure Data Explorer (Kusto/ADX) usando KQL para análise de logs, telemetria e séries temporais, incluindo detecção de anomalias e telemetria IoT.