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61. Analysis of Biological Networks (Wiley Series in Bioinformatics) by Björn H. Junker, Falk Schreiber | |
Hardcover: 368
Pages
(2008-03-31)
list price: US$99.95 -- used & new: US$53.95 (price subject to change: see help) Asin: 0470041447 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study. This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research. |
62. Bioinformatics Programming in Python: A Practical Course for Beginners by Ruediger-Marcus Flaig | |
Paperback: 428
Pages
(2008-04-22)
list price: US$89.95 -- used & new: US$65.11 (price subject to change: see help) Asin: 3527320946 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (5)
incomplete book,inpracticle for programming, lack of real stuffs
Better book than reviews suggest
This book is not for beginners
Don't waste time or money on this book
: pass # No value here |
63. Computational Text Analysis: For Functional Genomics and Bioinformatics by Soumya Raychaudhuri | |
Paperback: 312
Pages
(2006-03-30)
list price: US$85.00 -- used & new: US$48.68 (price subject to change: see help) Asin: 0198567413 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
64. Data Mining in Bioinformatics (Advanced Information and Knowledge Processing) | |
Hardcover: 340
Pages
(2004-09-17)
list price: US$119.00 -- used & new: US$19.22 (price subject to change: see help) Asin: 1852336714 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
65. Protein Bioinformatics:From Sequence to Function by M. Michael Gromiha | |
Paperback: 339
Pages
(2010-09-22)
list price: US$74.95 -- used & new: US$67.42 (price subject to change: see help) Asin: 8131222977 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description One of the most pressing tasks in biotechnology today is to unlock the function of each of the thousands of new genes identified every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source reference covers all aspects of proteins, explaining fundamentals, synthesizing the latest literature, and demonstrating the most important bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics, proteomics, protein engineering, biophysics, computational biology, molecular modeling, and drug design will find this a ready reference for staying current and productive in this fast evolving interdisciplinary field. Explains all aspects of proteins including sequence and structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions Teaches readers how to analyze their own datasets using available online databases, software tools, and web servers, which are listed and updated on the book's web companion page. Presents a cohesive and accessible overview of the field, using illustrations to explain key concepts and detailed exercises for students. |
66. Mathematics of Bioinformatics: Theory, Methods and Applications (Wiley Series in Bioinformatics) by Matthew He, Sergey Petoukhov | |
Hardcover: 316
Pages
(2011-02-14)
list price: US$99.95 -- used & new: US$89.86 (price subject to change: see help) Asin: 0470404434 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
67. BioInformatics: A Computing Perspective by Shuba Gopal, Anne Haake, Rhys Price Jones, Paul Tymann | |
Hardcover: 480
Pages
(2008-08-25)
-- used & new: US$88.79 (price subject to change: see help) Asin: 0073133647 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (2)
Decent introduction, but needs work
nice delivery! |
68. Clustering in Bioinformatics and Drug Discovery (Chapman & Hall/CRC Mathematical & Computational Biology) by John David MacCuish, Norah E. MacCuish | |
Hardcover: 244
Pages
(2010-11-15)
list price: US$79.95 -- used & new: US$75.08 (price subject to change: see help) Asin: 1439816786 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery. Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization. This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested. |
69. Evolutionary Bioinformatics by Donald R. Forsdyke | |
Paperback: 424
Pages
(2010-11-02)
list price: US$74.95 -- used & new: US$60.14 (price subject to change: see help) Asin: 1441941290 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description For decades, bioinformatics textbooks have primarily served gene-hunters and biologists constructing family trees showing tidy lines of descent. Written to make the ‘new’ information-based bioinformatics intelligible to both the ‘bio’ and the ‘info’ audiences, this book identifies the types of information that genomes transmit, shows how competition between different types is resolved in the genomes of different organisms, and identifies the evolutionary forces involved. Early chapters relate the form of information with which we are most familiar, namely written texts, to the DNA text that is our genome. Providing a pathway for introducing historical aspects dating back to the nineteenth century. |
70. From Protein Structure to Function with Bioinformatics | |
Paperback: 344
Pages
(2009-12-28)
list price: US$109.00 -- used & new: US$109.00 (price subject to change: see help) Asin: 9048180589 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function. |
71. Hidden Markov Models of Bioinformatics (Computational Biology) by Timo Koski | |
Paperback: 416
Pages
(2002-05-01)
list price: US$129.00 -- used & new: US$66.97 (price subject to change: see help) Asin: 1402001363 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (4)
An excellent, rigorous exploration of HMMs as used in bioinformatics
Written by a mathematician for mathematicians I wanted a book with a mathematical sophistication simliar to Durbin's book, but this book is way more than that. On the other hand, I showed this book to a mathematics graduate student and she said this book is perfect for her. So I guess this book is written by a mathematician only for mathematicians.
Good material, but you really have to want it. This additional depth of coverage may go beyond many readers' needs. It is very helpful, though, for people who need more than the usual algorithms. By giving the background in such detail, a persistent reader can follow to a certain point, then create modifications with a clear idea of where the new algorithm actually comes from. Regarding the current practice of HMM usage, I found it a bit thin. Widely-known tools based on HMMs are mentioned only occasionally and in passing, and HMM-based alignment is discussed only briefly. Well, this book isn't for the tool user. Perhaps more important, I found scant mention of scoring with respect to some background probability model ("null" model, as it's called here). My one real complaint, and this is truly minor, is the quality of illustration. The line-drawings look like Word pictures - not necessarily a bad thing, if done well. These aren't particularly professional-looking, though, and oddly stretched or squashed in many cases. Still, they're readable enough and make all the needed points. A lesser point, and not the author's fault, is the editorial implication that this book introduces probabilitic models in general. It does not. This is strictly about HMMs, not Bayesian nets, bootstrap techniques, or any of the dozens of other probabilistic models used in bioinformatics. That is not a flaw of the book, just a flaw in how it's represented. If you are dedicated to becoming an expert in HMM construction and application, you must have this book. It's a bit much, though, for people who just want the results that HMMs give.
Primarily for bio-mathematicians Some of the highlights of the book include: 1. An overview of the probability theory to be used in the book. The material is fairly standard, including a review of continuous and discrete random variables, from the measure-theoretic point of view, i.e the author introduces them via a probability space which is set with its sigma field, and a probability measure on this field. The weight matrix or "profile" as it is sometimes called, is defined, this having many applications in bioinformatics. Bayesian learning is also discussed, and the author introduces what he calls the "missing information principle", and is fundamental to the probabilistic modeling of biological sequences. Applications of probability theory to DNA analysis are discussed, includingshotgun assembly and the distribution of fragment lengths from restriction digests. A collection of interesting exercises is included at the end of the chapter, particularly the one on the null model for pairwise alignments. 2. An introduction to information theory and the relative entropy or "Kullback distance", the latter of which is used to learn sequence models from data. The author defines the mutual information between two probability distributions and the entropy, and calculates the latter for random DNA. He also proves some of the Shannon source coding theorems, one being the convergence to the entropy for independent, identically distributed random variables. The Kullback distance is then defined, as a distance between probability distributions, with the caution that it is not a metric because of lack of symmetry. 3. The overview of probabilistic learning theory, where 'learning from data' is defined as the process of inferring a general principle from observations of instances. 4.The very detailed treatment of the EM algorithm, including the discussion of a model for fragments with motifs. 5. The discussion of alignment and scoring, especially that of global similarity. Local alignment is treated in the exercises. 6. The discussion of the learning of Markov chains via Bayesian modeling applied to a training sequence via a family of Markov models. Frame dependent Markov chains are discussed in the context of Markovian models for DNA sequences. 7. The discussion of influence diagrams and nonstandard hidden Markov models, in particular the excellent diagrams drawn to illustrate the main properties, and excellent discussion is given of an "HMM with duration" in the context of the functional units of a eukaryotic gene. This is important in the GeneMark:hmm software available. 8. The treatment of motif-based HMM, in particular the discussion of the approximate common substring problem. 9. The discussion of the "quasi-stationary" property of some chains and the connection with the "Yaglom limit". 10. The treatment of Derin's formula for the smoothing posterior probability of a standard HMM. The author shows in detail that the probability of a finite length emitted sequence conditioned on a state sequence of the HMM depends only on a subsequence of the state sequence. 11. The treatment of the lumping of Markov chains, i.e. the question as to whether a function of a Markov chain is another Markov chain. 12. The very detailed treatment of the Forward-Backward algorithm and the Viterbi algorithm. 13. The discussion of the learning problem via the quasi-log likelihood function for HMM. 14. The discussion of the limit points for the Baum-Welch algorithm. Since the Baum-Welch algorithm deals with iterations of a map, its convergence can be proved by finding the fixed points of this map. These fixed points are in fact the stationary points of the likelihood function and can be related to the convergence of the algorithm via the Zangwill theory of algorithms. Unfortunately the author does not give the details of the Zangwill theory, but instead delegates it to the references (via an exercise). The Zangwill theory can be discussed in the context of nonlinear programming, with generalizations of it occurring in the field of nonlinear functional analysis. It might be interesting to investigate whether the properties of hidden Markov models, especially their rigorous statistical properties, can all be discussed in the context of nonlinear functional analysis. ... Read more |
72. The Ten Most Wanted Solutions in Protein Bioinformatics (Chapman & Hall/CRC Mathematical & Computational Biology) by Anna Tramontano | |
Hardcover: 216
Pages
(2005-05-24)
list price: US$87.95 -- used & new: US$58.03 (price subject to change: see help) Asin: 1584884916 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The Ten most Wanted Solutions in Protein Bioinformatics considers the ten most significant problems occupying those looking to identify the biological properties and functional roles of proteins. - Problem One considers the challenge involved with detecting the existence of an evolutionary relationship between proteins.- Two and Three studies the detection of local similarities between protein sequences and analysis in order to determine functional assignment. - Four, Five, and Six look at how the knowledge of the three-dimensional structures of proteins can be experimentally determined or inferred, and then exploited to understand the role of a protein. - Seven and Eight explore how proteins interact with each other and with ligands, both physically and logically.- Nine moves us out of the realm of observation to discuss the possibility of designing completely new proteins tailored to specific tasks. - And lastly, Problem Ten considers ways to modify the functional properties of proteins. After summarizing each problem, the author looks at and evaluates the current approaches being utilized, before going on to consider some potential approaches. introbul>Features---------------------Features---------------------· Presents introductory material on protein structure and function, with an evolutionary perspective· Describes ten of the most cogent problems in computational biology· Considers future routes that are likely to improve our understanding of the exquisitely specific and efficient mechanisms of protein function· Includes a suggested reading list for further research at the end of each chapter· Customer Reviews (3)
Useful, but the title doesn't really describe it
Depends on what you want
Comprehensive but a little dated |
73. Ontologies for Bioinformatics (Computational Molecular Biology) by Kenneth Baclawski, Tianhua Niu | |
Hardcover: 438
Pages
(2005-10-01)
list price: US$45.00 -- used & new: US$28.80 (price subject to change: see help) Asin: 0262025914 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
Very lucid explanations
Excellent book of how we apply Ontology into real life application.
Title can mislead: Greater focus on methods than content of ontologies |
74. Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems) | |
Hardcover: 370
Pages
(2010-07-15)
list price: US$129.95 -- used & new: US$111.62 (price subject to change: see help) Asin: 1439814880 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological understanding. A complilation of recent approaches from prominent researchers, Bioinformatics: High Performance Parallel Computer Architectures discusses how to take advantage of bioinformatics applications and algorithms on a variety of modern parallel architectures. Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis—which have led to an exponential growth in the amount of digital biological data—and the multi- and many-core revolution within computer architecture. Presenting key information about how to make optimal use of parallel architectures, this book: Because the amount of publicly available sequence data is growing faster than single processor core performance speed, modern bioinformatics tools need to take advantage of parallel computer architectures. Now that the era of the many-core processor has begun, it is expected that future mainstream processors will be parallel systems. Beneficial to anyone actively involved in research and applications, this book helps you to get the most out of these tools and create optimal HPC solutions for bioinformatics. |
75. Bioinformatics: Sequence and Structural Analysis by O. S. D. Gopakumar | |
Hardcover: 450
Pages
(2010-05-30)
list price: US$69.95 -- used & new: US$69.95 (price subject to change: see help) Asin: 184265490X Canada | United Kingdom | Germany | France | Japan | |
76. Data Mining for Bioinformatics by Sumeet Dua | |
Hardcover: 340
Pages
(2010-10-15)
list price: US$89.95 -- used & new: US$80.82 (price subject to change: see help) Asin: 0849328012 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
77. Introduction to Bioinformatics (Chapman & Hall/CRC Mathematical & Computational Biology) by Anna Tramontano | |
Paperback: 192
Pages
(2006-12-06)
list price: US$63.95 -- used & new: US$56.94 (price subject to change: see help) Asin: 1584885696 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The author, an expert bioinformatics researcher, first addresses the ways of storing and retrieving the enormous amount of biological data produced every day and the methods of decrypting the information encoded by a genome. She then covers the tools that can detect and exploit the evolutionary and functional relationships among biological elements. Subsequent chapters illustrate how to predict the three-dimensional structure of a protein. The book concludes with a discussion of the future of bioinformatics. Even though the future will undoubtedly offer new tools for tackling problems, most of the fundamental aspects of bioinformatics will not change. This resource provides the essential information to understand bioinformatics methods, ultimately facilitating in the solution of biological problems. |
78. Bioinformatics and Drug Discovery (Methods in Molecular Biology) | |
Paperback: 456
Pages
(2010-11-02)
list price: US$169.00 -- used & new: US$169.00 (price subject to change: see help) Asin: 1617375098 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
79. Bioinformatics: Genes, Proteins and Computers (Advanced Texts) | |
Paperback: 320
Pages
(2003-07-29)
list price: US$81.00 -- used & new: US$23.70 (price subject to change: see help) Asin: 1859960545 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
80. Theory and Mathematical Methods in Bioinformatics (Biological and Medical Physics, Biomedical Engineering) by Shiyi Shen | |
Paperback: 445
Pages
(2010-11-02)
list price: US$189.00 -- used & new: US$189.00 (price subject to change: see help) Asin: 3642094295 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. Prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to the molecular structures of proteins, DNA and other biomolecules and their analyses are developed. |
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