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41. Bioinformatics by Andrzej Polanski, Marek Kimmel | |
Hardcover: 376
Pages
(2007-05-29)
list price: US$89.95 -- used & new: US$53.09 (price subject to change: see help) Asin: 3540241663 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background. |
42. Bioinformatics and Molecular Evolution by Paul G. Higgs, Teresa K. Attwood | |
Paperback: 384
Pages
(2005-02-18)
list price: US$99.95 -- used & new: US$43.92 (price subject to change: see help) Asin: 1405106832 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (2)
Book okay, very poor delivery
Excellent book |
43. Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning) by Pierre Baldi, Søren Brunak | |
Hardcover: 476
Pages
(2001-08-01)
list price: US$65.00 -- used & new: US$34.98 (price subject to change: see help) Asin: 026202506X Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (16)
Terrible
the worst book I have ever read
Could have been a great one. First, the good. The description of stochastic context free grammars is the best I've seen. I don't know any other reference that even hint at how to use generative grammars to evaluate likelihoods. Once they caught my interest, though, the authors did not carry through with training and evaluation algorithms I could really use. I suspect that parts of the information are there, but I'll have to go back over their opaque notation again to work out just what they've given and just what's been left out. This same pattern - an interesting introduction with missing or mysterious development - recurs throughout the book. The discussion on clustering and phylogeny goes the same way: a number of techniques are mentioned but not developed. The authors mention a tree drawing problem, not just building the tree's topology, but ordering the branches for the most informative rendering. Again, a critical topic and one that most authors miss - in the end, these authors miss it, too, by mentioning but not filling in the idea. Their discussion of neural nets suffers badly from the authors' partial presentation. Evaluation of network output for a given input is relatively straightforward, and they present it in some detail. Training the net is the real problem, though, and is given less than a page. Baldi and Brunak give more of the fundamentals than most authors. For example, they explain the maximum entropy principle well enough that I'll use it in lots of other areas. They give some coverage to topics of intermediate complexity, such as the forward and backward algorithms for HMM training. Finally, they fizzle out at the higher levels of complexity - the Baum-Welch algorithm could have followed from the forward and backward methods, but is left as a reference to another book. There is some good here, especially in the fundamentals behind important techniques. The discussions I wanted - the more avanced topics, in forms I can use - are often weak, missing, or impenetrable. Just a bit more work, clearly within the authors' capability, would have made this a landmark reference.
An excellent book.
A very bad book. A colection of references w/o explanations I have a good programming background. I also read some papers on neural network and hidden markov models, This book is a lot worse than anything I have read in explaining the stuff. Very disappointed. Save your money and get something else. ... Read more |
44. Statistical Bioinformatics: For Biomedical and Life Science Researchers (Methods of Biochemical Analysis) by Jae K. Lee | |
Paperback: 370
Pages
(2010-02-15)
list price: US$99.95 -- used & new: US$77.94 (price subject to change: see help) Asin: 0471692727 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before. |
45. Bioinformatics and Biomarker Discovery: "Omic" Data Analysis for Personalized Medicine by Francisco Azuaje | |
Hardcover: 248
Pages
(2010-04-12)
list price: US$129.95 -- used & new: US$98.76 (price subject to change: see help) Asin: 047074460X Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery • Covers the main range of data sources currently used for biomarker discovery • Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications • Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies • Discusses systems biology approaches and applications • Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations |
46. Statistical Bioinformatics: with R by Sunil K. Mathur | |
Hardcover: 336
Pages
(2010-01-26)
list price: US$69.95 -- used & new: US$60.44 (price subject to change: see help) Asin: 0123751047 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics. Ancillary list: Customer Reviews (3)
a disappointing book
Excellent textbook on Statistical Bioinformatics
A statistics textbook masquerading as a statistical bioinformatics textbook, forget about R |
47. Fundamental Concepts of Bioinformatics by Dan E. Krane, Michael L. Raymer | |
Paperback: 320
Pages
(2002-09-22)
list price: US$116.80 -- used & new: US$49.86 (price subject to change: see help) Asin: 0805346333 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
Condition of book mislabeled?
A great textbook and reference book for both students and researchers.
good undergrad/opening text First bioinformatics primer for undergraduates. Personable writing style and numerous analogies make this text accessible to undergraduates. Focus on fundamentally important algorithms at the core of bioinformatics. Easy-to-do "paper and pencil" calculations make fundamental algorithms unintimidating for biology students and accessible to students with limited experience in computer programming. Combined expertise (biology and computer science) of author team ensures an integrated approach and an appreciation for the biology and computer science tools and perspectives. End-of-Chapter summaries tie together key concepts and provide real-world examples of the algorithms presented. Detailed solutions to selected text questions are provided in the back of the text so students can check their answers. Annotated Reading Material sections at the end of each chapter direct students to additional resources for further explanation. Questions and problems at the end of each chapter help students apply their understanding of the material. MOLECULAR BIOLOGY AND BIOLOGICAL CHEMISTRY. |
48. Genomic Perl: From Bioinformatics Basics to Working Code by Rex A. Dwyer | |
Hardcover: 400
Pages
(2002-07-15)
list price: US$84.00 -- used & new: US$6.93 (price subject to change: see help) Asin: 052180177X Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (2)
Not a good perl programming book period!
Develops effective genomic toolkits for UNIX, Windows & Mac |
49. Bioinformatics for Vaccinology by Darren R. Flower | |
Paperback: 312
Pages
(2008-12-31)
list price: US$99.95 -- used & new: US$52.70 (price subject to change: see help) Asin: 0470027118 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description "... This book has several strong points. Although there are many textbooks that deal with vaccinology, few attempts have been made to bring together descriptions of vaccines in history, basic bioinformatics, various computational solutions and challenges in vaccinology, detailed experimental methodologies, and cutting-edge technologies... This book may well serve as a first line of reference for all biologists and computer scientists..." –Virology Journal, 2009 Vaccinology now has at its disposal an array of post-genomic approaches of great power. None has a more persuasive potential impact than the application of computational informatics to vaccine discovery; the recent expansion in genome data and the parallel increase in cheap computing power have placed the bioinformatics exploration of pathogen genomes centre stage for vaccine researchers. This is the first book to address the area of bioinformatics as applied to rational vaccine design, discussing the ways in which bioinformatics can contribute to improved vaccine development by Bioinformatics for Vaccinology is a one-stop introduction to computational vaccinology. It will be of particular interest to bioinformaticians with an interest in immunology, as well as to immunologists, and other biologists who need to understand how advances in theoretical and computational immunobiology can transform their working practices. Customer Reviews (2)
Weird and not exactly cohesive, but I like it
No better book on the subject exists |
50. Structural Bioinformatics: An Algorithmic Approach (Chapman & Hall/CRC Mathematical & Computational Biology) by Forbes J. Burkowski | |
Hardcover: 429
Pages
(2008-10-30)
list price: US$81.95 -- used & new: US$65.56 (price subject to change: see help) Asin: 1584886838 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics Helps Students Go Further in Their Study of Structural Biology At the Crossroads of Biology, Mathematics, and Computer Science Customer Reviews (2)
For whom is this intended?
good start for students |
51. Clinical Bioinformatics (Methods in Molecular Biology) | |
Hardcover: 382
Pages
(2007-12-18)
list price: US$109.00 -- used & new: US$15.98 (price subject to change: see help) Asin: 1588297918 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
52. Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies (Wiley Series on Parallel and Distributed Computing) | |
Hardcover: 816
Pages
(2006-04-21)
list price: US$160.00 -- used & new: US$50.30 (price subject to change: see help) Asin: 0471718483 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
53. Bayesian Modeling in Bioinformatics (Chapman & Hall/CRC Biostatistics Series) | |
Hardcover: 466
Pages
(2010-09-03)
list price: US$89.95 -- used & new: US$64.76 (price subject to change: see help) Asin: 1420070177 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. The book explores Bayesian techniques and models for detecting differentially expressed genes, classifying differential gene expression, and identifying biomarkers. It develops novel Bayesian nonparametric approaches for bioinformatics problems, measurement error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also describes applications of mode-oriented stochastic search algorithms, in vitro to in vivo factor profiling, proportional hazards regression using Bayesian kernel machines, and QTL mapping. Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume explores statistical challenges in bioinformatics data analysis and modeling and offers solutions to these problems. It encourages readers to draw on the evolving technologies and promote statistical development in this area of bioinformatics. |
54. Bioinformatics: Principles and Basic Internet Applications by Ph.D Hassan A. Sadek | |
Paperback: 106
Pages
(2006-07-06)
list price: US$16.00 -- used & new: US$16.00 (price subject to change: see help) Asin: 1412025176 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
55. Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis by Ingvar Eidhammer, Inge Jonassen, William R. Taylor | |
Hardcover: 376
Pages
(2004-03-01)
list price: US$90.00 -- used & new: US$62.48 (price subject to change: see help) Asin: 0470848391 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Key features of the book include: Customer Reviews (2)
Good introduction for undergraduates or as reference.
Good intro, but light presentation |
56. Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health) | |
Hardcover: 473
Pages
(2005-08-31)
list price: US$99.00 -- used & new: US$62.00 (price subject to change: see help) Asin: 0387251464 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (4)
extremely helpful, but suffers from multiple author problem
it's not well organized
technically accurate but pedagogically flawed
Book contains many chapters to help get you started |
57. Immunological Bioinformatics (Computational Molecular Biology) by Ole Lund, Morten Nielsen, Claus Lundegaard, Can Kesmir, Søren Brunak | |
Hardcover: 310
Pages
(2005-09-01)
list price: US$53.00 -- used & new: US$30.40 (price subject to change: see help) Asin: 0262122804 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (1)
Bioinformatics at work |
58. Bioinformatics for Systems Biology | |
Hardcover: 740
Pages
(2009-02-17)
list price: US$139.00 -- used & new: US$95.00 (price subject to change: see help) Asin: 1934115029 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The biological sciences are now in the midst of a true life sciences revolution akin to what physics experienced just after the turn of the last century. We are now in a phase of unparalleled growth that is reflected by the amount of data generated from each experiment. At the time of this writing, the rate of data acquisition was approaching 2 terabytes over the course of 5 days with first pass analysis proceeding over the following 2-3 week period. This fundamental shift has provided unprecedented opportunities that for the first time afford us the ability, i.e., means, breadth, and depth of data, to truly address human biology at the systems level. This wealth of information from seemingly disparate datasets and its integration is being realized through bioinformatics. It is with this philosophy that the text Bioinformatics for Systems Biology was born. This revolution has spawned true personalized medicine that encompasses diagnostics and treatment through to cure. For the physical and computer scientist, this text provides an introduction to the basic biological principles governing a cell. This quickly moves from the fundamentals to exploring the underlying genetic processes. While providing a rudimentary and necessary overview for the life scientist, the physical and computer scientist will be apprised of various nuances within the field reflecting the reality of “wet-bench” science. For those in the life sciences, it is rapidly becoming appreciated that we are progressing from examining our favorite “pet” gene to the system. Statistics is now an essential component to understand the vast datasets and this is emphasized throughout the text. The majority of the text is devoted to the common ground that these groups share. It provides rich examples of tools, databases, and strategies to mine the databases to reveal novel insights. A host of examples of parsing the data into a series of overlays that use various presentation systems are reviewed. The goal is to provide a representation most comfortable to the user to enable the user to thoroughly explore the data. The text concludes with examples of how the systems information is used to inform personalized medicine in a true “bench to bedside” manner. Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward in the mostly uncharted and emerging field of Systems Biology. Customer Reviews (1)
Less Systems Biology Than I Had Hoped |
59. Bioinformatics, Genomics, And Proteomics: Getting the Big Picture (Biotechnology in the 21st Century) by Ann Finney BatizaPh.D. | |
Hardcover: 196
Pages
(2005-09)
list price: US$35.00 -- used & new: US$31.50 (price subject to change: see help) Asin: 0791085171 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Customer Reviews (2)
good general overview, introduction
First contact |
60. 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. |
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