Overview

Bioinformatics with Python: Deep Learning Pipelines for Gene Expression Prediction is a hands-on guide that bridges molecular biology and data science through real Python code. From raw sequencing reads to deep learning-based gene expression models, this book teaches you how to design, automate, and interpret complete bioinformatics workflows. Inside, you'll learn how to: Preprocess and visualize genomic and transcriptomic datasets Build and train deep learning models to predict gene activity Parse and analyze FASTQ, BAM, and VCF files using Python Apply reproducible workflows with Snakemake and Biopython Integrate public datasets and annotate variants programmatically Visualize biological insights with matplotlib and seaborn Each chapter includes step-by-step scripts, real-world examples, and executable workflows built entirely in Python. Whether you're a biologist learning to code or a data scientist entering genomics, this book gives you the essential toolkit to move from raw data to biological discovery - confidently and reproducibly.

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