Salmon Quantifier Skill
Salmon pseudo-alignment skill for fast and accurate transcript quantification
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Salmon pseudo-alignment skill for fast and accurate transcript quantification
RDKit chemoinformatics skill for molecular property calculation and compound library management
BAM/SAM file manipulation skill for sorting, indexing, filtering, and extracting alignment data
Seurat single-cell analysis skill for clustering, annotation, and trajectory analysis
STRING protein interaction network skill for functional enrichment and network visualization
Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Perseus statistical analysis skill for proteomics data analysis and visualization
Active targeting skill for designing and validating nanoparticle targeting strategies
PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained m...
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
Predict neoantigens that may be recognized by the immune system based.
DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
BLAST skill for sequence similarity searching, homology detection, and database querying
Graph-RAG Solver
Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto.
Work with sparse matrices for memory-efficient storage of count data. Use when dealing with single-cell data or large bulk RNA-seq datasets where most values are zero.
Build digital twin patient models to test drug efficacy and toxicity
BED file format fundamentals, creation, validation, and basic operations. Covers BED3 through BED12 formats, coordinate systems, sorting, and format conversion using bedtools and pybedtools. Use when working with genomic coordinates or preparing interval files for downstream tools.
Professional beautification tool for gene expression heatmaps, automatically adds clustering trees, color annotation tracks, and intelligently optimizes label layout.
Auto-annotate cell clusters from single-cell RNA data using marker genes.
Design multi-omics integration strategies for transcriptomics, proteomics,
Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
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