Bioinformatics Algorithms: Techniques and Applications (Hardcover)
Ion Mandoiu, Alexander Zelikovsky
- 出版商: Wiley
- 出版日期: 2008-02-01
- 售價: $1,750
- 貴賓價: 9.8 折 $1,715
- 語言: 英文
- 頁數: 520
- 裝訂: Hardcover
- ISBN: 0470097736
- ISBN-13: 9780470097731
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相關分類:
Algorithms-data-structures、生物資訊 Bioinformatics
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相關主題
商品描述
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:
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General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms
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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
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Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data
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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
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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)
本書介紹了在生物信息學中解決問題的算法技術,包括應用於揭示分子生物學的新知識的應用。本書首先探討了算法在21世紀生物信息學教育中的作用,然後介紹了以下內容:
- 通用的算法技術,包括動態規劃、圖論方法、隱馬爾可夫模型、快速傅立葉變換、種子匹配和近似算法。
- 用於基因組和序列分析的算法和工具,包括基因簇的正式和近似模型、非重疊局部比對和基因組平鋪、多重PCR引物集選擇以及序列/網絡模式發現。
- 微陣列設計和分析,包括微陣列物理設計的算法、缺失值插補和基因表達數據的元分析。
- 在人類群體中分析基因變異時出現的算法問題,包括從基因型數據中計算推斷單倍型和在病例/對照流行病學研究中搜索疾病相關性的計算方法。
- 在結構生物學和系統生物學中的算法方法,包括生物化學中的拓撲和結構分類,以及蛋白質-蛋白質和域-域相互作用的預測。
每一章節都以一個獨立的介紹計算問題開始,然後簡要回顧該主題的現有文獻,深入描述最近的算法和方法發展,最後進行簡要的實驗研究和對開放性研究挑戰的討論。這種清晰易懂的呈現方式使得本書適合研究人員、從業人員和研究生閱讀。