Top Python Libraries for Bioinformatics Data Analysis | Bioinformatics Ep. 10

Welcome to Lecture 10 of the Bioinformatics Data Analysis using Linux, Python & R series!
This video introduces you to essential Python libraries used across genomics, transcriptomics, proteomics, and large-scale data science in bioinformatics.

🔍 What You’ll Learn:
Overview of core Python libraries:
🐍 Biopython – sequence parsing & NCBI access
📊 Pandas – tabular biological data analysis
🧬 scikit-bio – diversity analysis & phylogenetics
📈 Matplotlib/Seaborn – bio data visualization
🧠 SciPy/Numpy – statistical & matrix computation
🧪 BioPandas, PyEnsembl, gffutils, pybedtools – specialized bio formats and analysis

When and why to use each library

Sample use-cases from real-world research datasets

Whether you're analyzing gene expression, comparing sequences, or visualizing omics data — this is your essential Python toolbox.

📺 Watch full playlist: [Series Playlist Link]
💬 Get help and network: [Discord/FB Group Link]

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