Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (Wiley Series in Bioinformatics) Kindle Edition

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ISBN-13: 978-0470892107
ISBN-10: 0470892102
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From the Back Cover

The most comprehensive, practical overview of algorithms in computational molecular biology

Computational molecular biology has emerged from the Human Genome Project as an important discipline for academic research and industrial application. Due to the exponential growth?in the size of biological databases and the increasing intricacy of biological problems, high-performance algorithms are now necessary to deal with errors in biological sequences.?Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology is the first in-depth examination of these important algorithms, which are based on the newest and most improved approaches and techniques in the field.

The book's unique coverage offers both a wide range of information—from theintroductory fundamentals right up to the latest, most advanced levels of study—and enough technical depth to be of practical use to working professionals. Organized into seven parts, it addresses:

  • Strings processing and application to biological sequences

  • Analysis of biological sequences

  • Motif finding and structure prediction

  • Phylogeny reconstruction

  • Microarray data analysis

  • Analysis of genomes

  • Analysis of biological networks

Also featured are a combination of experiments and simulations that provide not only qualitative but also quantitative insights into this rich field. By covering a wide range of combinatorial problems that arise in computational molecular biology, this book enables researchers, computer scientists, life scientists, mathematicians, graduate students, and senior undergraduates to deal with more complex issues and richer data sets.

About the Author

Mourad Elloumi, PhD, is Associate Professor in Computer Science, Faculty of Economic Sciences and Management of Tunis (Tunisia), and member of the Unit of Technologies of Information and Communication (UTIC).?He is the author/coauthor of more than forty publications in international journals and conferences. Professor Elloumi was the guest editor of a special issue on biological knowledge discovery and data mining in Knowledge-Based Systems and the coeditor of the proceedings of two international conferences.

Albert Y. Zomaya, PhD, is the Chair Professor of High Performance Computing and Networking in the School of Information Technologies at The University of Sydney (Australia). He is the author/coauthor of eight books and more than 400 publications in technical journals and conferences, and the editor of eight books and eight conference volumes. Professor Zomaya is currently an associate editor for twenty journals, the Founding Editor of the Wiley Series on Parallel and Distributed Computing, and a Founding Coeditor of the Wiley Series in Bioinformatics.

Product Details

  • File Size: 18549 KB
  • Print Length: 1086 pages
  • Page Numbers Source ISBN: 0470505192
  • Publisher: Wiley; 1 edition (June 10, 2011)
  • Publication Date: June 10, 2011
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B005CD7IU0
  • Text-to-Speech: Enabled
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  • Word Wise: Not Enabled
  • Lending: Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #2,824,975 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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By Let's Compare Options Preptorial TOP 500 REVIEWER on April 1, 2013
Format: Hardcover Verified Purchase
If you look at the 50,000 foot view of bioinformatics, RNA folding, applying 3D to sequence alignment, etc. there are thousands of what might be called, a little tongue in cheek, "philosophical" issues. For example, after spending millions of dollars on sequences and stringology, do we really get to function? Do we get to conditionality let alone causality? In many cases, no, the research can't REALLY apply the sequence in situ let alone in vitro, because cell cycles, protein "network" phenomenon, and just plain co-variate computational complexity stops us dead in our tracks outside of our very focused models.

These authors, and their many professional chapter-contributing colleagues, leapfrog those issues and really "get into it" from the "here's what works and what doesn't" and "here are the open questions" -- NOT just in "philosophy" as above, but the daily step by step tasks and tools needed for a very modern bioinformatics research lab to survive, succeed and even prosper. Whether it's a detailed analysis of Clustal, or deep insights on various probes and equipment types, this is 1,000 pages of rubber hits the road advice!

I'm am the bioinformatics manager at payroy dot com, and we do research on patent applications in molecular algorithms and entities, including informatics. I'd be LOST without this text! It is like the top 10 conferences on steroids, distilling not research papers but the TECHNIQUES BEHIND the research papers! You simply can't get information like this from any other books-- you'd have to talk to the authors of the journal articles about their back room secrets, shortcuts and techniques.
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