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Handbook of Computational Molecular Biology [Kõva köide]

Edited by (Iowa State University, Ames, USA)
  • Formaat: Hardback, 1108 pages, kõrgus x laius: 254x178 mm, kaal: 1700 g, 29 Tables, black and white; 1 Halftones, black and white; 354 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Computer and Information Science Series
  • Ilmumisaeg: 21-Dec-2005
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1584884061
  • ISBN-13: 9781584884064
Teised raamatud teemal:
  • Formaat: Hardback, 1108 pages, kõrgus x laius: 254x178 mm, kaal: 1700 g, 29 Tables, black and white; 1 Halftones, black and white; 354 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Computer and Information Science Series
  • Ilmumisaeg: 21-Dec-2005
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1584884061
  • ISBN-13: 9781584884064
Teised raamatud teemal:
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available.

Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining.

The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.

Arvustused

The material is well organized and documented, with good presentation and special care on typography. It is highly recommended for any researcher or graduate student interested in an insight into computational biology deeper than the practical use as black boxes of computer programs or web servers. Arturo Rojo-Dominguez, in Bulletin of Mathematical Biology, (2007) 69: 2775-2776

It is to the credit of the author and publisher that they have been able to put together such a complete and well organized handbook this early. Useful to the researcher looking for either an introduction to the field in general or go learn about areas outside his particular area of expertise. Books-On-Line

"...valuable to those new to the field as well as more experienced researchers. The handbook has done a good job of developing major areas in the field while maintaining a well-organized structure. The 'Handbook for Computational Molecular Biology' will be a great resource to those interested in this exciting field." - Suzanne Sindi, Bioinformatics, Feb., 2007, Vol. 38, No. 3

Part I: Sequence Alignments
Pairwise Sequence Alignment
1(1)
Benjamin N. Jackson
Srinivas Aluru
Spliced Alignment and Similarity-based Gene Recognition
1(1)
Alexei D. N-everov
Andrei A. Mironov
Mikhail S. Gelfand
Multiple Sequence Alignment
1(1)
Osamu Gotoh
Shinsuke Yamada
Tetsushi Yada
Parametric Sequence Alignment
1(1)
David Fernandez-Baca
Balaji Venkatachalam
Part II: String Data Structures
Lookup Tables, Suffix Trees and Suffix Arrays
1(1)
Srinivas Aluru
Pang Ko
Suffix Tree Applications in Computational Biology
1(1)
Pang Ko
Srinivas Aluru
Enhanced Suffix Arrays and Applications
1(1)
Mohamed I. Abouelhoda
Stefan Kurtz
Enno Ohlebusch
Part III: Genome Assembly and EST Clustering
Computational Methods for Genome Assembly
1(1)
Xiaoqiu Huang
Assembling the Human Genome
1(1)
Richa Agarwala
Comparative Methods for Sequence Assembly
1(1)
Vamsi Veeramachaneni
Information Theoretic Approach to Genome Reconstruction
1(1)
Suchendra Bhandarkar
Jinling Huang
Jonathan Arnold
Expressed Sequence Tags: Clustering and Applications
1(1)
Anantharaman Kalyanaraman
Srinivas Aluru
Algorithms for Large-Scale Clustering and Assembly of Biological Sequence Data
1(1)
Scott J. Emrich
Anantharaman Kalyanaraman
Srinivas Aluru
Part IV: Genome-Scale Computational Methods
Comparisons of Long Genomic Sequences: Algorithms and Applications
1(1)
Michael Brudno
Inna Dubchak
Chaining Algorithms and Applications in Comparative Genomics
1(1)
Enno Ohlebusch
Mohamed I. Abouelhoda
Computational Analysis of Alternative Splicing
1(1)
Mikhail S. Gelfand
Human Genetic Linkage Analysis
1(1)
Alejandro A. Schaffer
Haplotype Inference
1(1)
Dan Gusfield
Steven Hecht Orzack
Part V: Phylogenetics
An Overview of Phylogeny Reconstruction
1(1)
C. Randal Linder
Tandy Warnow
Consensus Trees and Supertrees
1(1)
Oliver Eulenstein
Large-scale Phylogenetic Analysis
1(1)
Tandy Warnow
High-Performance Phylogeny Reconstruction
1(1)
David A. Bader
Mi Yan
Part VI: Microarrays and Gene Expression Analysis
Microarray Data: Annotation, Storage, Retrieval and Communication
1(1)
Catherine A. Ball
Gavin Sherlock
Computational Methods for Microarray Design
1(1)
Hui-Hsien Chou
Clustering Algorithms for Gene Expression Analysis
1(1)
Pierre Baldi
G. Wesley Hatfield
Li M. Fu
Biclustering Algorithms: A Survey
1(1)
Amos Tanay
Roded Sharan
Ron Shamir
Identifying Gene Regulatory Networks from Gene Expression Data
1(1)
Vladimir Filkov
Modeling and Analysis of Gene Networks Using Feedback Control Theory
1(1)
Hana El Samad
Mustang Rammish
Part VII: Computational Structural Biology
Predicting Protein Secondary and Supersecondary Structure
1(1)
Mona Singh
Protein Structure Prediction with Lattice Models
1(1)
William E. Hart
Alantha Newman
Protein Structure Determination via NMR Spectral Data
1(1)
Guohui Lin
Xin Tu
Xiang Wan
Geometric and Signal Processing of Reconstructed 3D Maps of Molecular Complexes
1(1)
Chandrajit Bajaj
Zeyun Yu
In Search of Remote Homolog
1(1)
Dong Xu
Ognen Duzlevski
Xii-Fend Wan
Biomolecular Modeling using Parallel Supercomputers
1(1)
Laxmikant V. Kale
Klaus Schulten
Robert D. Skeel
Glenn Martyna
Mark Tuckerman
James C. Phillips
Sameer Kumar
Gengbin Zheng
Part VIII: Bioinformatic Databases and Data Mining
String Search in External Memory: Data Structures and Algorithms
1(1)
Paolo Ferragina
Index Structures for Approximate Matching in Sequence Databases
1(1)
Tamer Kahveci
Ambuj K. Singh
Algorithms for Motif Search
1(1)
Sanguthevar Rajasekaran
Data Mining in Computational Biology
1(1)
Mohammed J. Zaki
Karlton Sequeira
Index 1


Srinivas Aluru