Bioinformatics Algorithms: Techniques and Applications (Hardcover)
暫譯: 生物資訊演算法:技術與應用 (精裝版)

Ion Mandoiu, Alexander Zelikovsky

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商品描述

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers:

  • General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms

  • Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding

  • Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data

  • Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies

  • Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions

Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

商品描述(中文翻譯)

本書介紹了生物資訊學中的演算法技術,強調其在解決後基因組分子生物學新問題中的應用。首先,書中對演算法在二十一世紀生物資訊學教育中的角色進行了引人深思的討論,《生物資訊學演算法》涵蓋了以下內容:

- 一般演算法技術,包括動態規劃、圖論方法、隱馬可夫模型、快速傅立葉變換、種子法和近似演算法
- 基因組和序列分析的演算法和工具,包括基因簇的正式和近似模型、非重疊局部比對和基因組鋪排的高級演算法、多重PCR引子組選擇,以及序列/網絡模式尋找
- 微陣列設計和分析,包括微陣列物理設計的演算法、缺失值插補,以及基因表達數據的元分析
- 在分析人類群體遺傳變異中出現的演算法問題,包括從基因型數據推斷單倍型的計算推斷,以及在病例/對照流行病學研究中的疾病關聯搜尋
- 結構生物學和系統生物學中的演算法方法,包括生物化學中的拓撲和結構分類,以及蛋白質-蛋白質和結構-結構互動的預測

每一章節都以對計算問題的獨立介紹開始;接著簡要回顧該主題的現有文獻,並深入描述最近的演算法和方法學發展;最後以簡短的實驗研究和對未解研究挑戰的討論作結。這種清晰且易於接近的呈現方式使本書適合研究人員、實務工作者和研究生閱讀。