Sequence Analysis and Modern C++: The Creation of the SeqAn3 Bioinformatics Library (Computational Biology Book 33)

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Sequence Analysis and Modern C++: The Creation of the SeqAn3 Bioinformatics Library (Computational Biology Book 33)

Sequence Analysis and Modern C++ is a unique and highly specialized resource that documents the development of SeqAn3, a high-performance, open-source C++ library designed for efficient sequence analysis in bioinformatics. Part of the Computational Biology series, this volume blends advanced computer science concepts with practical bioinformatics applications, making it essential for software developers, computational biologists, and researchers working with biological sequence data.

This book provides an in-depth look at the architectural design, algorithmic foundations, and implementation strategies behind SeqAn3, demonstrating how modern C++ features can be harnessed to create powerful, maintainable, and scalable bioinformatics software. It covers both the theoretical principles of sequence analysis and the practical challenges of building a reusable, performance-focused library for genome-scale data.

Key Features of “Sequence Analysis and Modern C++”:

  • Comprehensive Overview: Detailed explanation of SeqAn3’s modular design and API architecture.

  • Algorithmic Foundations: Insights into sequence alignment, pattern matching, and indexing techniques.

  • Modern C++ Techniques: Practical use of templates, concepts, ranges, and other C++20 features in bioinformatics software development.

  • Performance Optimization: Strategies for maximizing computational efficiency in large-scale sequence analysis.

  • Hands-On Examples: Real-world code snippets and usage scenarios for integrating SeqAn3 into research projects.

  • Open-Source Development: Guidance on contributing to, extending, and maintaining the SeqAn3 library.

Description

Sequence Analysis and Modern C++: The Creation of the SeqAn3 Bioinformatics Library (Computational Biology Book 33)

Sequence Analysis and Modern C++ is a unique and highly specialized resource that documents the development of SeqAn3, a high-performance, open-source C++ library designed for efficient sequence analysis in bioinformatics. Part of the Computational Biology series, this volume blends advanced computer science concepts with practical bioinformatics applications, making it essential for software developers, computational biologists, and researchers working with biological sequence data.

This book provides an in-depth look at the architectural design, algorithmic foundations, and implementation strategies behind SeqAn3, demonstrating how modern C++ features can be harnessed to create powerful, maintainable, and scalable bioinformatics software. It covers both the theoretical principles of sequence analysis and the practical challenges of building a reusable, performance-focused library for genome-scale data.

Key Features of “Sequence Analysis and Modern C++”:

  • Comprehensive Overview: Detailed explanation of SeqAn3’s modular design and API architecture.

  • Algorithmic Foundations: Insights into sequence alignment, pattern matching, and indexing techniques.

  • Modern C++ Techniques: Practical use of templates, concepts, ranges, and other C++20 features in bioinformatics software development.

  • Performance Optimization: Strategies for maximizing computational efficiency in large-scale sequence analysis.

  • Hands-On Examples: Real-world code snippets and usage scenarios for integrating SeqAn3 into research projects.

  • Open-Source Development: Guidance on contributing to, extending, and maintaining the SeqAn3 library.

This book is ideal for bioinformatics software engineers, computational biologists, genomic researchers, and graduate students who want to deepen their understanding of both advanced C++ programming and the computational methods underlying biological sequence analysis. It is particularly valuable for those looking to develop high-performance, reproducible, and open-source tools for genomics, transcriptomics, and metagenomics.

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