Pattern recognition in computational molecular biology : techniques and approaches / edited by Mourad Elloumi [and three others] ; contributors, Andrej Aderhold [and eighty others].

Format:

Book

Contributor:

Elloumi, Mourad, editor.

Aderhold, Andrej, contributor.

Series:

Wiley Series in Bioinformatics

Wiley Series in Bioinformatics: Computational Techniques and Engineering

Language:

English

Subjects (All):

Molecular biology--Data processing.

Molecular biology.

Computational biology.

Pattern recognition systems.

Physical Description:

1 online resource (720 p.)

Edition:

1st ed.

Place of Publication:

Hoboken, New Jersey : Wiley, 2016.

Language Note:

English

Summary:

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 Secondary Structures , Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays , Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks . Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Contents:

Wiley Series; Title Page; Copyright; Table of Contents; List of Contributors; Preface; Part 1: Pattern Recognition in Sequences; Chapter 1: Combinatorial Haplotyping Problems; 1.1 Introduction; 1.2 Single Individual Haplotyping; 1.3 Population Haplotyping; References; Chapter 2: Algorithmic Perspectives of the String Barcoding Problems; 2.1 Introduction; 2.2 Summary of Algorithmic Complexity Results for Barcoding Problems; 2.3 Entropy-Based Information Content Technique for Designing Approximation Algorithms for String Barcoding Problems

2.4 Techniques for Proving Inapproximability Results for String Barcoding Problems2.5 Heuristic Algorithms for String Barcoding Problems; 2.6 Conclusion; Acknowledgments; References; Chapter 3: Alignment-Free Measures for Whole-Genome Comparison; 3.1 Introduction; 3.2 Whole-Genome Sequence Analysis; 3.3 Underlying Approach; 3.4 Experimental Results; 3.5 Conclusion; Author's Contributions; 3.6 Acknowledgments; References; Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment; 4.1 Introduction; 4.2 Multiple Sequence Local Alignment; 4.3 Motif Finding Algorithms

4.4 Time Complexity4.5 Case Studies; 4.6 Conclusion; References; Chapter 5: Global Sequence Alignment with a Bounded Number of Gaps; 5.1 Introduction; 5.2 Definitions and Notation; 5.3 Problem Definition; 5.4 Algorithms; 5.5 Conclusion; References; Part 2: Pattern Recognition in Secondary Structures; Chapter 6: A Short Review on Protein Secondary Structure Prediction Methods; 6.1 Introduction; 6.2 Representative Protein Secondary Structure Prediction Methods; 6.3 Evaluation of Protein Secondary Structure Prediction Methods; 6.4 Conclusion; Acknowledgments; References

Chapter 7: A Generic Approach to Biological Sequence Segmentation Problems: Application to Protein Secondary Structure Prediction7.1 Introduction; 7.2 Biological Sequence Segmentation; 7.3 MSVMpred; 7.4 Postprocessing with A Generative Model; 7.5 Dedication to Protein Secondary Structure Prediction; 7.6 Conclusions and Ongoing Research; Acknowledgments; References; Chapter 8: Structural Motif Identification and Retrieval: A Geometrical Approach; 8.1 Introduction; 8.2 A Few Basic Concepts; 8.3 State of The Art; 8.4 A Novel Geometrical Approach to Motif Retrieval; 8.5 Implementation Notes

8.6 Conclusions and Future WorkAcknowledgment; References; Chapter 9: Genome-Wide Search for Pseudoknotted Noncoding RNA: A Comparative Study; 9.1 Introduction; 9.2 Background; 9.3 Methodology; 9.4 Results and Interpretation; 9.5 Conclusion; References; Part 3: Pattern Recognition in Tertiary Structures; Chapter 10: Motif Discovery in Protein 3D-Structures using Graph Mining Techniques; 10.1 Introduction; 10.2 From Protein 3D-Structures to Protein Graphs; 10.3 Graph Mining; 10.4 Subgraph Mining; 10.5 Frequent Subgraph Discovery; 10.6 Feature Selection; 10.7 Feature Selection for Subgraphs

10.8 Discussion

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-119-07886-5

1-119-07885-7

OCLC:

935254548