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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.

Parametry knihy

• Plný název: Bioinformatics with Python
• Podnázev: Deep Learning Pipelines for Gene Expression Prediction using Python
• Autor: Joseph Solomon
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 306
• EAN: 9798268931679
• ID: 50562903
• Nakladatelství: Independently published
• Hmotnost: 413 g
• Rozměry: 229 × 152 × 16 mm
• Datum vydání: 08. October 2025

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