tcga-bulk-data-preprocessing-with-omicverse

This skill automates the preprocessing of TCGA (The Cancer Genome Atlas) data using the Omicverse package, providing a streamlined method for integrating and analyzing expression and clinical data. It specifically handles the ingestion of TCGA sample sheets, expression archives, and clinical carts, while also initializing survival metadata and exporting annotated AnnData files for downstream analysis. This solution is designed to facilitate the early stages of bioinformatics workflows, saving time by automating data processing tasks that would otherwise be tedious and error-prone when performed manually. It allows users to focus on higher-level analysis and interpretation rather than the intricacies of data preprocessing.

The skill offers a comprehensive set of features for TCGA data, including initialization of raw count, FPKM, and TPM matrices, automatic attachment of clinical metadata, and survival analysis. Users can quickly generate survival curves for individual genes or process all genes for survival analysis. It also allows exporting enriched AnnData files for further analysis and sharing with collaborators. This tool is particularly valuable for bioinformaticians, cancer researchers, and data scientists working with TCGA datasets. The integration with Omicverse ensures compatibility with other analysis tools and easy integration into broader omics workflows.