About
This skill enables Claude to execute full bioinformatic workflows for bulk RNA-seq data, providing a robust Python-based alternative to the traditional R-based DESeq2 environment. It facilitates data preparation, multi-factor experimental designs, Wald statistical testing with FDR correction, and advanced visualization techniques like volcano and MA plots. Ideal for researchers and bioinformaticians, it automates the identification of significantly regulated genes while accounting for batch effects and covariates, integrating seamlessly with pandas and AnnData structures for modern genomic pipelines.
