Calculates and harmonizes Tumor Mutational Burden (TMB) across platforms to predict immunotherapy response.
لغة النص الأصلي: الإنجليزية
القائمة
Skills في هذا المستودع
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swaruplab/operonعرض ٤٠ من أصل ٥٧٩ skills مجمعة.
Calculates and harmonizes Tumor Mutational Burden (TMB) across platforms to predict immunotherapy response.
لغة النص الأصلي: الإنجليزية
Annotate scRNA-seq
لغة النص الأصلي: الإنجليزية
Quantify transposable element expression from single-cell RNA/ATAC-seq BAM files at locus or family level.
لغة النص الأصلي: الإنجليزية
Locus-specific transposable element quantification from single-cell RNA-seq BAMs, producing a gene+TE 10x-style count matrix.
لغة النص الأصلي: الإنجليزية
Publication-quality volcano plots from DE results using EnhancedVolcano (R) or matplotlib (Python).
لغة النص الأصلي: الإنجليزية
Generate daily or on-demand medical research briefs for any medical specialty. Searches latest research from top-tier journals, delivers concise summaries with 1-sentence takeaways, images when available, and direct links. Use when user asks for medical news,…
لغة النص الأصلي: الإنجليزية
Comprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer…
لغة النص الأصلي: الإنجليزية
Strategic clinical trial design feasibility assessment using ToolUniverse. Evaluates patient population sizing, biomarker prevalence, endpoint selection, comparator analysis, safety monitoring, and regulatory pathways. Creates comprehensive feasibility…
لغة النص الأصلي: الإنجليزية
Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug…
لغة النص الأصلي: الإنجليزية
Production-ready genomics and epigenomics data processing for BixBench questions. Handles methylation array analysis (CpG filtering, differential methylation, age-related CpG detection, chromosome-level density), ChIP-seq peak analysis (peak calling, motif…
لغة النص الأصلي: الإنجليزية
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries.…
لغة النص الأصلي: الإنجليزية
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect sizes, ancestry diversity, and heterogeneity statistics. Use when comparing GWAS…
لغة النص الأصلي: الإنجليزية
Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses…
لغة النص الأصلي: الإنجليزية
Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100),…
لغة النص الأصلي: الإنجليزية
Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics. Computes treeness, RCV, treeness/RCV, parsimony informative sites, evolutionary rate, DVMC, tree length, alignment gap statistics, GC…
لغة النص الأصلي: الإنجليزية
Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates…
لغة النص الأصلي: الإنجليزية
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type…
لغة النص الأصلي: الإنجليزية
Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when…
لغة النص الأصلي: الإنجليزية
Single-cell ATAC-seq analysis with ArchR (R). The mature R-based scATAC pipeline — Arrow files, doublet inference, iterative LSI + Harmony, clustering, gene scores, MACS2 peak calling, motif enrichment, chromVAR deviations, footprinting, scRNA-seq integration…
لغة النص الأصلي: الإنجليزية
Remove ambient RNA from raw scRNA-seq count matrices using CellBender's remove-background. GPU-strongly-recommended (~30 min on GPU vs hours on CPU for typical data). Takes raw 10X h5 (or h5ad with all-barcodes-included), trains a variational model that…
لغة النص الأصلي: الإنجليزية
Cell-cell communication analysis with CellChat (R). Covers (1) the standard single-dataset pipeline — database setup, communication inference, pathway-level aggregation, centrality, communication-pattern discovery, similarity-based clustering; (2)…
لغة النص الأصلي: الإنجليزية
Co-expression network analysis for single-cell and spatial transcriptomics using hdWGCNA (R/Seurat). Covers the full pipeline — metacell construction, soft-power selection, network construction, module identification, module eigengenes (MEs/hMEs), hub gene…
لغة النص الأصلي: الإنجليزية
scRNA-seq quantification with kallisto + bustools via kb-python. Pseudoalignment-based — orders of magnitude faster than full alignment (STAR / cellranger) while producing comparable count matrices. Covers index generation (kb ref), per-sample quantification…
لغة النص الأصلي: الإنجليزية
MrVI — multi-resolution variational inference for multi-sample scRNA-seq. Two-level hierarchical model that learns both a sample-unaware cell-state latent (u) and a sample-aware latent (z). Outputs per-cell sample-distance matrices for stratification…
لغة النص الأصلي: الإنجليزية
ResolVI — variational autoencoder for denoising imaging-based spatial transcriptomics (Xenium, MERFISH, CosMx). Removes ambient background and resolves wrong segmentation by jointly modeling true cell expression, mis-assigned neighbor counts, and unspecific…
لغة النص الأصلي: الإنجليزية
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning…
لغة النص الأصلي: الإنجليزية
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory…
لغة النص الأصلي: الإنجليزية
scRNA-seq analysis with Seurat v5 (R) — the standard R-based pipeline. Covers QC, normalization (LogNormalize + SCTransform), HVG selection, scaling, PCA, neighbors, leiden/Louvain clustering, UMAP/t-SNE, marker gene identification (FindMarkers /…
لغة النص الأصلي: الإنجليزية
SingleCellExperiment (SCE) — the canonical Bioconductor S4 container for single-cell genomics. Covers SCE construction, assay/colData/rowData/reducedDims/altExps accessors, sizeFactors and labels, iteration via applySCE, and the standard scater + scran…
لغة النص الأصلي: الإنجليزية
Single-cell ATAC-seq analysis with SnapATAC2 (scverse). Covers the full pipeline — fragment import, TSS enrichment QC, tile-matrix construction, doublet filtering, spectral embedding, UMAP/leiden, MACS3 peak calling, gene activity matrices, differentially…
لغة النص الأصلي: الإنجليزية
Build deployable interactive web atlases from single-cell RNA-seq data using STELLAR. Turns a .h5ad (or Seurat .rds) into a UMAP + gene-expression + DE + hdWGCNA + CellChat + Milo + enrichment + AI-chat browser SPA. Covers the four-step CLI (init → ingest →…
لغة النص الأصلي: الإنجليزية
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence…
لغة النص الأصلي: الإنجليزية
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and…
لغة النص الأصلي: الإنجليزية
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
لغة النص الأصلي: الإنجليزية
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick…
لغة النص الأصلي: الإنجليزية
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
لغة النص الأصلي: الإنجليزية
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database…
لغة النص الأصلي: الإنجليزية
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
لغة النص الأصلي: الإنجليزية
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your…
لغة النص الأصلي: الإنجليزية
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
لغة النص الأصلي: الإنجليزية