Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing (2nd edition)
Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing (2nd edition)
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基因组规模的算法设计：高通量测序时代的生物信息学（第二版）
DOI：
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发表时间：
2023
期刊：
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通讯作者：
Alexandru I. Tomescu
中科院分区：
文献类型：
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作者：
V. Mäkinen;Djamal Belazzougui;F. Cunial;Alexandru I. Tomescu
本书介绍了支持生物信息学工作流程的基本算法和数据结构，涵盖了一系列主题，从序列分析的基础（比对和隐马尔可夫模型）到经典索引结构（k-mer 索引、后缀数组和后缀树）、Burrows-Wheeler 索引、图算法、网络流和许多高级组学应用。这些章节包含大量示例、算法可视化和练习，为研究生、研究人员和从业人员提供了用于高通量测序应用的强大算法工具包。随附的网站 (www.genome-scale.info) 提供支持教材。第二版通过涵盖最小化器和其他高级数据结构及其在新兴泛基因组学方法中的使用来增强该工具包。
Presenting the fundamental algorithms and data structures that power bioinformatics workflows, this book covers a range of topics from the foundations of sequence analysis (alignments and hidden Markov models) to classical index structures (k-mer indexes, suffix arrays, and suffix trees), Burrows–Wheeler indexes, graph algorithms, network flows, and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualizations, and exercises, providing graduate students, researchers, and practitioners with a powerful algorithmic toolkit for the applications of high-throughput sequencing. An accompanying website (www.genome-scale.info) offers supporting teaching material. The second edition strengthens the toolkit by covering minimizers and other advanced data structures and their use in emerging pangenomics approaches.