Book Description

This digital document is an article from BIOTECH Patent News, published by Biotech Patent News on July 1, 2001. The length of the article is 469 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Genomic Solutions creates bioinformatic research tools with Proteometrics.(Brief Article)
Publication: BIOTECH Patent News (Newsletter)
Date: July 1, 2001
Publisher: Biotech Patent News
Volume: 15Issue: 7Page: NA

Article Type: Brief Article

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Book Description

This digital document is an article from Advanced Imaging, published by Cygnus Business Media on January 1, 2000. The length of the article is 1086 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: BioInformatics Opportunities: Beyond Image Analysis Tools.
Author: Len Yencharis
Publication: Advanced Imaging (Magazine/Journal)
Date: January 1, 2000
Publisher: Cygnus Business Media
Volume: 15Issue: 1Page: 40

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Book Description

This digital document is an article from Instrument Business Outlook, published by Strategic Directions International Inc. (SDI) on February 15, 2001. The length of the article is 1291 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Bioinformatics: The Rosetta Stone of Life Science Research.
Publication: Instrument Business Outlook (Newsletter)
Date: February 15, 2001
Publisher: Strategic Directions International Inc. (SDI)
Volume: 9Issue: 21Page: 1

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Book Description

Bioinformatics has ignited the imagination of scientists, entrepreneurs and the general public. At the meeting place of two fast growth disciplines, biology and computer science Bioinformatics is one of the cornerstones of the new biology. It is clearly pivotal to the translation of high throughput projects such the human genome project into useful knowledge. Yet despite all this attention, there is no consensus on what exactly is Bioinformatics. There are several canonical topics, such as gene structure prediction, protein functional classification or structure prediction. The present book, explores new frontiers in bioinformatics, such as Glycomics or the computational modeling of genetic processes. We also discuss confounding factors that we find crucial to the development of the field, such as the ability to protect and restrict intellectual property in the field, or the challenges involved in educating bioinformatics users. Finally, we touch upon some fundamental questions such as what is information and how it is captured in biological systems. By bringing to the readers such a broad spectrum of reviews, we hope to capture the vibrant spirit of this young science and to truly represent the fast pace with which is still developing.

Book Description

This digital document is an article from Instrument Business Outlook, published by Strategic Directions International Inc. (SDI) on October 31, 2000. The length of the article is 1101 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: IBC's Bioinformatics Symposium: Challenges for a New Field.
Publication: Instrument Business Outlook (Newsletter)
Date: October 31, 2000
Publisher: Strategic Directions International Inc. (SDI)
Volume: 9Issue: 14Page: NA

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Book Description

This digital document is an article from Instrument Business Outlook, published by Strategic Directions International Inc. (SDI) on September 30, 2002. The length of the article is 821 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Visualization and data mining software extend Bioinformatic capabilities.
Publication: Instrument Business Outlook (Newsletter)
Date: September 30, 2002
Publisher: Strategic Directions International Inc. (SDI)
Volume: 11Issue: 12Page: 3(1)

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Book Description

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Membrane Computing, WMC-CdeA 2002, held in Curtea de Arges, Romania, in August 2002. The 29 revised full papers presented were carefully selected during two rounds of reviewing and revision; some were especially solicited for inclusion in the book after the workshop. Most papers address membrane systems and membrane computing from the point of view of theoretical computer science; some papers solve open problems and present new approaches, and others provide mathematical and biological background. All in all, the book presents the state of the art in membrane computing. ... Read more

Book Description

This study is the fifth in the IDC Life Sciences' "Day in the Life" series ofprofiles. This interview discusses the future of bioinformatics with Celera'sdirector of Bioinformatics, Vaibhav Narayan, PhD, and Celera's vice presidentof Informatics, John Reynders, PhD, revealing numerous information technologyissues and insights. "A major issue threatening many in the drug discovery and development industryis the inability to integrate data and knowledge. How well can a drug companymanage its knowledge to identify novel therapeutic targets using itsbioinformatics platform? Once a target is identified, but before screens areinitiated, how quickly can the company establish intellectual propertyutilizing its data mining tools? Does the company have the ability to integratecomputational chemistry and structural biology to develop algorithms forin-silico drug screening? These issues are a few of the major pressure pointsin the drug discovery process that information technology can aid in lesseningthe strain." — Zachary Zimmerman, PhD, IDC senior research analyst, LifeSciences ... Read more

Book Description

Hardbound. This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions. ... Read more

Reviews (3)

Good as a literature survey
This book serves well to introduce the reader to the literature on the applications of neural networks to bioinformatics. It falls short however in giving an in-depth view of how neural networks operate and does not include any source code. Performance issues with the use of neural networks in genome informatics should have been given a more careful treatment. Considering its price, this is disappointing. A reader could obtain the required reading material on this subject from an online search. An instructor in a course in bioinformatics might use this book as a reference source however. Those who have used neural networks in other fields might be able to use the book as a guide to applying them to genome informatics. Thus the book could be viewed as a (very expensive) literature review article, but it does include some interesting remarks at various places: 1. Amino acid groupings that are found automatically by a Kohonen self-organizing map. 2. Feature representation and input encoding. 3. The discussion on cross-validation. 4. The discussion on protein secondary structure prediction. Genetic algorithms are mentioned here, so readers not familiar with these will have to gain the background elsewhere.

Timely text for beginners and experts alike
In contrast to so many other bioinformatics books this one is written by genuine experts who have first-hand experience in both computer science and modern biology.

Each chapter is a masterpiece of clarity and good judgement in selection of topics to be covered. The book contains a large glossary of terms which makes it accessible for multidisciplinary readers. The authors made considerable effort to provide unbiased selection of most appropriate references following each chapter. This makes the book a superb research monograph for the specialists in addition to being a suitable text for educated beginners.

The book should be read by computer scientists who contemplate doing work in bioinformatics as well as by biologists who contemplate working in bioinformatics. Anybody who wants to design neural networks for specific biological applications will benefit the most from reading this text. Anybody who just wants to understand how and why neural networks can be used in biology will benefit from reading this book as well. Practicing computational biologists and bioinformaticians should have this book available as a desk reference. Psychologists, cognitive and social scientists who are interested in neural networks and artificial learning will likely benefit from reading this book as well.

I hasten to add that it would be really good for the book and for its readers if the publisher considered either lowering the price or printing a cheaper paperback edition.

GreatBook
This is a book that comes out at the right time, a time when tons of information from genomics and several improved analysis tools based on great ideas are both becoming available. I believe readers from a broad range of academic background will benefit from the integration of knowledges from genome informatics, statistics, computer science, engineering, and mathmatics, a feature that this book exemplifies. ... Read more

Book Description

Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer.

In a broader perspective, specialized bioinformatics methods in immunology make possible for the first time a systems-level understanding of the immune system. The traditional approaches to immunology are reductionist, avoiding complexity but providing detailed knowledge of a single event, cell, or molecular entity. Today, a variety of experimental bioinformatics techniques connected to the sequencing of the human genome provides a sound scientific basis for a comprehensive description of the complex immunological processes.

This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful for immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes. ... Read more