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OmicVerse is a comprehensive Python package for multi-omics analysis covering bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics, providing unified workflows for preprocessing, clustering, trajectory analysis, and cross-platform data integration.

A Python package for multi-omics analysis including bulk, single-cell, and spatial RNA-seq data, published in Nature Communications, providing comprehensive bioinformatics workflows within the scverse ecosystem.

A skill for performing bulk RNA-seq DESeq2 differential expression analysis using OmicVerse, a multi-language framework for single-cell and bulk genomics data analysis.

An OmicVerse skill for single-cell RNA-seq data preprocessing, part of a comprehensive Python framework for multi-omics analysis covering bulk, single-cell, and spatial transcriptomics with 60+ integrated bioinformatics tools.

A comprehensive Python toolkit for multi-omics data analysis, supporting single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, and multi-omics integration. Provides end-to-end workflows from preprocessing and batch correction to cell type annotation, trajectory analysis, and publication-ready visualization.

A comprehensive Python library for multi-omics data analysis, providing tools for single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, and multi-omics integration with publication-ready visualizations.

Part of OmicVerse, a Python framework for multi-omics data analysis published in Nature Communications, supporting single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, and more. This skill handles data export to PDF format within OmicVerse's comprehensive bioinformatics analysis toolkit.

OmicVerse is a comprehensive Python framework for multi-omics data analysis, covering single-cell RNA-seq, bulk RNA-seq differential expression, spatial transcriptomics, and more. Published in Nature Communications, it integrates with the scverse ecosystem and is available via PyPI, Conda, and Docker.

A skill for creating publication-quality scientific visualizations using matplotlib and seaborn, supporting scatter plots, line charts, heatmaps, violin plots, and multi-panel figures, compatible with any LLM provider.

Part of OmicVerse, a comprehensive Python framework for multi-omics data analysis. Supports single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, and multi-omics integration with tools for preprocessing, clustering, trajectory inference, and publication-ready visualization.