<span>The three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the
Fundamentals of Bioinformatics and Computational Biology: Methods and Exercises in MATLAB
β Scribed by Gautam B. Singh (auth.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 345
- Series
- Modeling and Optimization in Science and Technologies 6
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxβ’. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in todayβs biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
β¦ Table of Contents
Front Matter....Pages 1-14
Front Matter....Pages 1-1
Introduction to Bioinformatics....Pages 3-10
Introduction to Molecular Biology....Pages 11-35
Biological Databases....Pages 37-76
Processing Biological Sequences with MATLAB....Pages 77-93
Front Matter....Pages 95-96
Sequence Homology....Pages 97-125
Protein Alignments....Pages 127-142
Multiple Sequence Alignment....Pages 143-158
Alignment Tools....Pages 159-170
Biolinguistic Methods....Pages 171-188
Front Matter....Pages 189-191
Sequence Models....Pages 193-206
Subsequence Pattern Models....Pages 207-220
Gene Models....Pages 221-231
Front Matter....Pages 233-233
Introduction to Phylogenetic Reconstruction....Pages 235-252
Distance Based Methods....Pages 253-260
Character Based Methods: Parsimony....Pages 261-271
Probabilistic Methods: Maximum Likelihood....Pages 273-286
Microarrays....Pages 287-311
Back Matter....Pages 313-339
β¦ Subjects
Computational Intelligence; Computational Biology/Bioinformatics; Bioinformatics
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