Understanding Bioinformatics

Understanding Bioinformatics
Author: Marketa J. Zvelebil
Publisher: Garland Science
Total Pages: 804
Release: 2008
Genre: Bioinformatics
ISBN: 9780815340249


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Suitable for advanced undergraduates & postgraduates, this book provides a definitive guide to bioinformatics. It takes a conceptual approach & guides the reader from first principles through to an understanding of the computational techniques & the key algorithms.


Understanding Bioinformatics
Language: en
Pages: 804
Authors: Marketa J. Zvelebil
Categories: Bioinformatics
Type: BOOK - Published: 2008 - Publisher: Garland Science

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Suitable for advanced undergraduates & postgraduates, this book provides a definitive guide to bioinformatics. It takes a conceptual approach & guides the reade
Computational Methods for Understanding Bacterial and Archaeal Genomes
Language: en
Pages: 494
Authors: Ying Xu
Categories: Medical
Type: BOOK - Published: 2008 - Publisher: World Scientific

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Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide
Essential Bioinformatics
Language: en
Pages: 360
Authors: Jin Xiong
Categories: Science
Type: BOOK - Published: 2006-03-13 - Publisher: Cambridge University Press

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Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specificall
Bioinformatics Algorithms
Language: en
Pages:
Authors: Phillip Compeau
Categories:
Type: BOOK - Published: 1986-06 - Publisher:

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Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A l
Essentials of Bioinformatics, Volume I
Language: en
Pages: 405
Authors: Noor Ahmad Shaik
Categories: Science
Type: BOOK - Published: 2019-03-27 - Publisher: Springer

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Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of bi