Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks
This book describes the traditional and modern approaches in biological sequence alignment and homology search. This book contains 11 chapters, with Chapter 1 providing basic information on biological sequences. Next, Chapter 2 contains fundamentals in pair-wise sequence alignment, while Chapters 3 and 4 examine popular existing quantitative models and practical clustering techniques that have...
Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate s...
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data
Molecular biology is undergoing exponential growth in both the volume and complexity of biological data--and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)--providing in-depth fundamental and technical field information on the most important topics encountered.
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The first comprehensive overview of preprocessing, mining, and postprocessing of biological data
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology
This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in...
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists
This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested...
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computati...