🎯Skills25
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.
OmicVerse is a Python framework for multi-omics data analysis, providing tools for single-cell and spatial transcriptomics research with support for preprocessing, analysis, and visualization.
A skill for data statistics analysis within OmicVerse, a comprehensive Python library for multi-omics data analysis spanning bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and more.
A skill within OmicVerse, a Python framework for multi-omics analysis covering bulk, single-cell, and spatial RNA-seq data, with capabilities for trajectory analysis, deconvolution, and community discovery in transcriptomics datasets.
Part of OmicVerse, a comprehensive Python framework for multi-omics analysis that provides tools for single-cell RNA sequencing, spatial transcriptomics, bulk RNA-seq, and cell-cell communication mapping using CellPhoneDB.
OmicVerse is a comprehensive Python package for multi-omics analysis covering bulk, single-cell, and spatial RNA-seq data, part of the scverse ecosystem with support for PyPI, Conda, and Docker.
A comprehensive Python framework for multi-omics data analysis providing unified workflows for single-cell RNA-seq, spatial transcriptomics, and bulk RNA-seq, published in Nature Communications.
OmicVerse is a comprehensive Python package for multi-omics analysis including bulk, single-cell, and spatial RNA-seq data. Provides tools for RNA-seq deconvolution, gene regulatory networks, and integrative multi-omics workflows.
A data transformation skill that enables cleaning, normalization, reshaping, filtering, and feature engineering using pandas, numpy, and scikit-learn, running locally and compatible with all LLM providers.
A Python framework for multi-omics analysis bridging bulk, single-cell, and spatial RNA-seq data, offering integrated tools for transcriptomics research with support for spatial analysis workflows.
OmicVerse is a Python package for multi-omics analysis covering bulk, single-cell, and spatial RNA-seq data, with integrated support for data preprocessing, visualization, and downstream analysis workflows.
A comprehensive Python package for multi-omics analysis covering bulk, single-cell, and spatial RNA-seq data. Provides tools for batch correction, trajectory inference, cell-cell communication, and spatial transcriptomics with integration into the scverse ecosystem.
A Python toolkit for multi-omics data analysis integrating single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, and proteomics workflows with unified visualization and comprehensive computational biology methods.
OmicVerse is a Python framework for multi-omics analysis covering bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics. It provides integrated tools for data preprocessing, differential expression, pathway analysis, cell clustering, and visualization within the scverse ecosystem.
A skill within OmicVerse, a comprehensive Python framework for multi-omics data analysis, providing trajectory interpolation functionality for single-cell genomics and spatial transcriptomics workflows.
Skill