Software Tools and Algorithms for Biological Systems

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Hamid Arabnia, Quoc-Nam Tran
Springer Science & Business Media, Mar 23, 2011 - Science - 776 pages
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“Software Tools and Algorithms for Biological Systems" is composed of a collection of papers received in response to an announcement that was widely distributed to academicians and practitioners in the broad area of computational biology and software tools. Also, selected authors of accepted papers of BIOCOMP’09 proceedings (International Conference on Bioinformatics and Computational Biology: July 13-16, 2009; Las Vegas, Nevada, USA) were invited to submit the extended versions of their papers for evaluation.

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I found Part I of this edited book to be of award quality. Part I is about Computational Methods for Microarrays, Gene Expression, Analysis, and Gene Regulatory Networks. Part I is composed of 15 articles. Readers whose background includes computational science and microarrays will get a lot out of this Part of the book. The contributors are also very helpful in the sense that you can send them emails requesting codes that you can import into your programs.
Part II on Bioinformatics Databases, Data Mining, and Pattern Recognition was difficult for me to understand. But my background lacks knowledge in data mining. The papers that address issues with bioinformatics databases were good; we used various database methodologies that were presented in this book (at least my graduate students did).
I am yet to review Part III on Protein Classification and Structure Prediction, and Computational Structural Biology; and the subsequent parts.
Overall, I got a lot out of this book (so far). Thanks to the editorial board: Drs. Nathan Back, Irun Cohen, Abel Lajtha, John Lambris, and Rodolfo Paoletti and the book editors.


Part II Bioinformatics Databases Data Mining and Pattern Discovery Techniques
Part III Protein Classification and Structure Predictionand Computational Structural Biology
Part IV Comparative Sequence Genome Analysis GenomeAssembly and Genome Scale Computational Methods
Part V Experimental Medicine and Analysis Tools
Part VI Computational Methods for Filtering Noise Cancellationand Signal and Image Processing
Part VII ComputerBased Medical Systems
Part VIII Software Packages and Other Computational Topics in Bioinformatics

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About the author (2011)

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, "The Journal of Supercomputing" (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science, USA

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