
Bioinformatics by Jeremy Ramsden
Overview and aims. This book is intended as a self-contained guide to the entire ?eld of bioinformatics, interpreted as the application of information science to - ology. There is strong underlying belief that information is a profound concept underlying biology, and familiarity with the concepts of information should make it possible to gain many important new insights into biology. In other words, the vision underpinning this book goes beyond the narrow interpretation of bioinf- matics sometimes encountered, which may con'ne itself to speci'c tasks such as the attempted identi'cation of genes in a DNA sequence. Organization and features. The chapters are grouped into three parts, cov- ing the relevant fundamentals of information science, overviewing all of biology, and surveying applications. Thus Part I (fundamentals) carefully explains what - formation is, and discusses attributes such as value and quality, and its multiple signi'cations of accuracy, meaning, and effect. The transmission of information through channels is described. Brief summaries of the necessary elements of set theory, combinatorics, probability, likelihood, clustering, and pattern recognition are given. Conceptssuch as randomness, complexity, systems and networks, needed fortheunderstandingofbiologicalorganization, arealso discussed. PartII(biology) covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects. Part III (applications) is devoted to the most important prac- cal applications of bioinformatics, notably gene identi'cation, transcriptomics, p- teomics, interactomics (dealing with networks of interactions), and metabolomics.-
Modeling in Systems Biology
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Frontiers in Computational and Systems Biology
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Models and Algorithms for Genome Evolution
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Sequence Analysis and Modern C++
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Networks in Systems Biology
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Phenotypes and Genotypes
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Video Bioinformatics
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Distributed and Sequential Algorithms for Bioinformatics
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Parameter Advising for Multiple Sequence Alignment
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Artificial Intelligence Methods and Tools for Systems Biology
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Bioinformatics and Phylogenetics
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Theoretical and Applied Aspects of Systems Biology
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Advances in Artificial Intelligence, Computation, and Data Science
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Comparative Gene Finding
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Protein-protein Interactions and Networks
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Summarizing Biological Networks
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Algorithms and Methods in Structural Bioinformatics
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Computing for Comparative Microbial Genomics
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Anatomy Ontologies for Bioinformatics
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Sequence Comparison
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Foundations of Systems Biology
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Bioinformatics: An Introduction
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Comparative Genomics
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Phylogenetic Supertrees
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Hidden Markov Models for Bioinformatics
From the reviews of the second edition:
"This book is a self-contained guide to bioinformatics that targets undergraduates interested in this fieldBioinformatics is an interdisciplinary field that involves computer science, engineering, biology, and medicine. This book covers the basics of these areas, so readers will acquaint themselves with the fundamental building blocks of bioinformatics. … In short, this book is a wonderful text for entry-level students." (Hsun-Hsien Chang, ACM Computing Reviews, June, 2009)
“In the textbook under review, the author interprets the scientific field of bioinformatics in a broad manner … . The range of topics covered by the book is impressive and these topics are structured very well by the author, giving the reader a good overview of the field and showing how the different concepts are related. … The target audience of advanced undergraduate and graduate students will find this book useful … to ‘find out what is out there’ in the field of bioinformatics.” (Till Tantau, Mathematical Reviews, Issue 2012 b)
ANDREW KAKABADSE is Professor of International Management Development at Cranfield School of Management, and the H. Smith Richardson Fellow at CCL, North Carolina, USA. His research covers boards, top teams and the governance of governments. He has published 26 books, 169 articles and 16 monographs, and is co-editor of the Journal of Management Development and Corporate Governance: International Journal of Business in Society.
SHUHEI AIDA is Chairman and CEO of the Human Media Foundation in Japan, professor emeritus at the University of Electro-Communications in Tokyo, Director-General of Cranfield University Japan Centre and visiting Professor at Cranfield University. He has published about 150 research papers and 30 books in the fields of system engineering, information technology and global environmental issues, and has received the Mainichi Cultural and Publishing Award.
| SKU | Unavailable |
| ISBN 13 | 9781849967648 |
| ISBN 10 | 1849967644 |
| Title | Bioinformatics |
| Author | Jeremy Ramsden |
| Series | Computational Biology |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2010-10-22 |
| Number of pages | 272 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



























