Python-Based RNA-seq Pipeline: PyDESeq2-Driven Differential Expression for Human and Mouse Datasets
Автор: Stupid Biologist Mohit
Загружено: 2025-12-05
Просмотров: 15
This video provides a complete, step-by-step RNA-seq data analysis workflow using Python and PyDESeq2 in Google Colab, covering both human and mouse samples. The tutorial is divided into two interactive notebooks:
🔗 Notebook 1: RAW Count Extraction & Combined Matrix Generation
Load your raw featureCounts outputs, extract gene-level counts, clean metadata, and generate a combined count matrix ready for downstream differential expression analysis.
👉 Notebook Link: https://colab.research.google.com/dri...
🔗 Notebook 2: Human & Mouse — From DEG Identification to Visualization
Perform differential expression analysis using PyDESeq2, filter significant DEGs, and generate beautiful visualizations such as PCA plots, volcano plots, heatmaps, and gene expression summaries.
👉 Notebook Link: https://colab.research.google.com/dri...
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