{
"item_title" : "Pattern Discovery in Bioinformatics",
"item_author" : [" Laxmi Parida "],
"item_description" : "Taking a systematic approach to pattern discovery, this self-contained book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. A solid foundation in computational methods, it explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions, to capture a different form of regularity in the data. The book focuses on models of biological sequences, including DNA, RNA, and protein sequences. With numerous exercises at the end of each chapter, it also reviews basic statistics, including probability, information theory, and the central limit theorem.",
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Overview
Taking a systematic approach to pattern discovery, this self-contained book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. A solid foundation in computational methods, it explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions, to capture a different form of regularity in the data. The book focuses on models of biological sequences, including DNA, RNA, and protein sequences. With numerous exercises at the end of each chapter, it also reviews basic statistics, including probability, information theory, and the central limit theorem.
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Details
- ISBN-13: 9781584885498
- ISBN-10: 1584885491
- Publisher: CRC Press
- Publish Date: July 2007
- Dimensions: 9.36 x 6.45 x 1.31 inches
- Shipping Weight: 1.98 pounds
- Page Count: 544
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