Pattern Discovery in
Bioinformatics: Theory & Algorithms (Chapman & Hall Crc
Mathematical & Computational Biology Series)
Pattern Discovery in Bioinformatics: Theory & Algorithms
(Chapman & Hall Crc Mathematical & Computational Biology Series)
By Laxmi Parida
Publisher: Chapman & Hall/CRC
Number Of Pages: 512
Publication Date: 2007-07-04
ISBN-10 / ASIN: 1584885491
ISBN-13 / EAN: 9781584885498
Binding: Hardcover
The computational methods of bioinformatics are being used more and
more to process the large volume of current biological data. Promoting
an understanding of the underlying biology that produces this data,
Pattern Discovery in Bioinformatics: Theory and Algorithms provides the
tools to study regularities in biological data. Taking a systematic
approach to pattern discovery, the book supplies sound mathematical
definitions and efficient algorithms to explain vital information about
biological data. It explores various data patterns, including strings,
clusters, permutations, topology, partial orders, and boolean
expressions. Each of these classes captures a different form of
regularity in the data, providing possible answers to a wide range of
questions. The book also reviews basic statistics, including
probability, information theory, and the central limit theorem. This
self-contained book provides a solid foundation in computational
methods, enabling the solution of difficult biological questions.
http://www.filefactory.com/file/c220f1/
Bioinformatics: Theory & Algorithms (Chapman & Hall Crc
Mathematical & Computational Biology Series)
Pattern Discovery in Bioinformatics: Theory & Algorithms
(Chapman & Hall Crc Mathematical & Computational Biology Series)
By Laxmi Parida
Publisher: Chapman & Hall/CRC
Number Of Pages: 512
Publication Date: 2007-07-04
ISBN-10 / ASIN: 1584885491
ISBN-13 / EAN: 9781584885498
Binding: Hardcover
The computational methods of bioinformatics are being used more and
more to process the large volume of current biological data. Promoting
an understanding of the underlying biology that produces this data,
Pattern Discovery in Bioinformatics: Theory and Algorithms provides the
tools to study regularities in biological data. Taking a systematic
approach to pattern discovery, the book supplies sound mathematical
definitions and efficient algorithms to explain vital information about
biological data. It explores various data patterns, including strings,
clusters, permutations, topology, partial orders, and boolean
expressions. Each of these classes captures a different form of
regularity in the data, providing possible answers to a wide range of
questions. The book also reviews basic statistics, including
probability, information theory, and the central limit theorem. This
self-contained book provides a solid foundation in computational
methods, enabling the solution of difficult biological questions.
http://www.filefactory.com/file/c220f1/
