Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation (Wiley Series in Bioinformatics)
暫譯: 多重生物序列比對:評分函數、演算法與評估(Wiley生物資訊系列)

Ken Nguyen, Xuan Guo, Yi Pan

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商品描述

Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks

This book describes the traditional and modern approaches in biological sequence alignment and homology search.  This book contains 11 chapters, with Chapter 1 providing basic information on biological sequences. Next, Chapter 2 contains fundamentals in pair-wise sequence alignment, while Chapters 3 and 4 examine popular existing quantitative models and practical clustering techniques that have been used in multiple sequence alignment. Chapter 5 describes, characterizes and relates many multiple sequence alignment models. Chapter 6 describes how traditionally phylogenetic trees have been constructed, and available sequence knowledge bases can be used to improve the accuracy of reconstructing phylogeny trees. Chapter 7 covers the latest methods developed to improve the run-time efficiency of multiple sequence alignment.  Next, Chapter 8 covers several popular existing multiple sequence alignment server and services, and Chapter 9 examines several multiple sequence alignment techniques that have been developed to handle short sequences (reads) produced by the Next Generation Sequencing technique (NSG). Chapter 10 describes a Bioinformatics application using multiple sequence alignment of short reads or whole genomes as input. Lastly, Chapter 11 provides a review of RNA and protein secondary structure prediction using the evolution information inferred from multiple sequence alignments.

• Covers the full spectrum of the field, from alignment algorithms to scoring methods, practical techniques, and alignment tools and their evaluations

• Describes theories and developments of scoring functions and scoring matrices

•Examines phylogeny estimation and large-scale homology search

Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Applications is a reference for researchers, engineers, graduate and post-graduate students in bioinformatics, and system biology and molecular biologists.

Ken Nguyen, PhD, is an associate professor at Clayton State University, GA, USA. He received his PhD, MSc and BSc degrees in computer science all from Georgia State University. His research interests are in databases, parallel and distribute computing and bioinformatics. He was a Molecular Basis of Disease fellow at Georgia State and is the recipient of the highest graduate honor at Georgia State, the William M. Suttles Graduate Fellowship.

Xuan Guo, PhD, is a postdoctoral associate at Oak Ridge National Lab, USA. He received his PhD degree in computer science from Georgia State University in 2015. His research interests are in bioinformatics, machine leaning, and cloud computing. He is an editorial assistant of International Journal of Bioinformatics Research and Applications.

Yi Pan, PhD, is a Regents' Professor of Computer Science and an Interim Associate Dean and Chair of Biology at Georgia State University. He received his BE and ME in computer engineering from Tsinghua University in China and his PhD in computer science from the University of Pittsburgh. Dr. Pan's research interests include parallel and distributed computing, optical networks, wireless networks and bioinformatics. He has published more than 180 journal papers with about 60 papers published in various IEEE/ACM journals. He is co-editor along with Albert Y. Zomaya of the Wiley Series in Bioinformatics.

商品描述(中文翻譯)

涵蓋多重生物序列比對與分析的基本原理和技術,並向讀者展示如何選擇適合其任務的序列分析工具

本書描述了生物序列比對和同源性搜尋的傳統與現代方法。本書包含11章,第一章提供生物序列的基本資訊。接下來,第二章介紹成對序列比對的基本原理,而第三章和第四章則探討在多重序列比對中使用的流行定量模型和實用的聚類技術。第五章描述、特徵化並關聯多種多重序列比對模型。第六章說明傳統上如何構建系統發生樹,以及如何利用可用的序列知識庫來提高重建系統發生樹的準確性。第七章涵蓋了為提高多重序列比對運行效率而開發的最新方法。接下來,第八章介紹幾個流行的現有多重序列比對伺服器和服務,第九章則檢視幾種為處理由下一代測序技術(Next Generation Sequencing, NSG)產生的短序列(讀取)而開發的多重序列比對技術。第十章描述了一個使用短讀取或全基因組的多重序列比對作為輸入的生物資訊學應用。最後,第十一章提供了使用從多重序列比對推斷的演化資訊進行RNA和蛋白質二級結構預測的回顧。

• 涵蓋該領域的全範圍,從比對演算法到評分方法、實用技術以及比對工具及其評估

• 描述評分函數和評分矩陣的理論與發展

• 檢視系統發生估計和大規模同源性搜尋

多重生物序列比對:評分函數、演算法與應用 是生物資訊學、系統生物學及分子生物學的研究人員、工程師、研究生及博士後學生的參考書。

Ken Nguyen, PhD, 是美國喬治亞州克萊頓州立大學的副教授。他在喬治亞州立大學獲得計算機科學的博士、碩士和學士學位。他的研究興趣包括數據庫、並行與分散計算以及生物資訊學。他曾是喬治亞州立大學的分子疾病基礎研究獎學金獲得者,並獲得喬治亞州立大學的最高研究生榮譽——威廉·M·薩特爾斯研究生獎學金。

Xuan Guo, PhD, 是美國橡樹嶺國家實驗室的博士後研究員。他於2015年在喬治亞州立大學獲得計算機科學博士學位。他的研究興趣包括生物資訊學、機器學習和雲計算。他是國際生物資訊學研究與應用期刊的編輯助理。

Yi Pan, PhD, 是喬治亞州立大學的計算機科學榮譽教授及生物學的臨時副院長和系主任。他在中國清華大學獲得計算機工程的學士和碩士學位,並在匹茲堡大學獲得計算機科學博士學位。潘博士的研究興趣包括並行與分散計算、光學網絡、無線網絡和生物資訊學。他已發表超過180篇期刊論文,其中約60篇發表在各種IEEE/ACM期刊上。他與Albert Y. Zomaya共同編輯Wiley生物資訊學系列。