Data Integration, Manipulation and Visualization of Phylogenetic Trees (Chapman & Hall/CRC Computational Biology Series)

Data Integration, Manipulation and Visualization of Phylogenetic Trees (Chapman & Hall/CRC Computational Biology Series)

Data Integration, Manipulation and Visualization of Phylogenetic Trees from the renowned Chapman & Hall/CRC Computational Biology Series is a comprehensive and modern guide that addresses one of the most critical challenges in evolutionary biology and bioinformatics — how to effectively analyze, compare, and visualize complex phylogenetic data. This book offers readers a practical and detailed understanding of how to integrate multiple biological data sources, manipulate tree structures, and visualize evolutionary relationships with precision and clarity.

Written by leading experts in computational biology, this volume serves as an invaluable resource for researchers, data scientists, evolutionary biologists, and bioinformaticians working with large-scale genomic and phylogenomic datasets. It bridges the gap between biological concepts and computational methods, enabling professionals to interpret tree-based data with higher accuracy and deeper insight.

Key Features:

• Comprehensive Data Integration Techniques: Learn how to combine genomic, proteomic, and taxonomic data into unified phylogenetic analyses for accurate evolutionary interpretation.

• Advanced Tree Manipulation Methods: Covers a variety of algorithms, data structures, and software tools for building, editing, and comparing phylogenetic trees.

• High-Quality Visualization Tools: Step-by-step guidance on creating clear, interpretable, and publication-ready visualizations using modern computational tools like R, Python, and specialized libraries.

• Applications in Evolutionary Biology and Genomics: Explore real-world examples in comparative genomics, species classification, molecular evolution, and biodiversity studies.

• Data Interoperability and Standards: Discusses best practices for data formatting, standardization (e.g., Newick, Nexus, PhyloXML), and interoperability across different bioinformatics platforms.

• Computational Efficiency: Provides optimized workflows for handling large phylogenetic datasets, ensuring high performance even with complex evolutionary models.

• Hands-on Examples and Code: Includes practical exercises and scripts that empower readers to apply concepts directly to their research.

• Expert Commentary: Written by specialists who combine deep biological knowledge with computational expertise — ensuring clarity, accuracy, and real-world relevance.

Who Should Read This Book:

• Bioinformatics researchers working on evolutionary data analysis and genomic data integration.

• Computational biologists designing algorithms for tree comparison and data visualization.

• Molecular biologists and geneticists studying phylogenetic relationships among species.

• Graduate students pursuing advanced studies in computational biology, systematics, or evolutionary bioinformatics.

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