Gautam B. Singh

Fundamentals of Bioinformatics and Computational Biology (eBook, PDF)

Methods and Exercises in MATLAB

• Format: PDF

Produktbeschreibung

This book comprehensively covers all the core bioinformatics topics and includes practical examples completed using the MATLAB bioinformatics and machine learning toolboxes(TM). 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 to enable physical science students to appreciate the challenges in biological data management, sequence analysis, and systems biology. The book is divided into five parts. The first one includes a survey of existing biological databases and tools that have become essential in today's biotechnology research. The second part covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The third part of the book focuses on modeling biological sequences and patterns as Markov chains, covering core principles for analyzing and searching for sequences of significant motifs and biomarkers and developing stochastic ergodic hidden Markov models for biological sequence families. The fourth one is dedicated to systems biology and covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In turn, the last part of the book includes an introduction to machine-learning algorithms for bioinformatics and outlines strategies for developing intelligent diagnostic machine-learning applications, RNA sequence data, and deep learning systems for mass spectrometry data. All in all, this book offers a unique hands-on reference guide to bioinformatics and computational biology. This second edition has been updated to cover additional and most recent databases, and machine learning and deep learning applications in RNA sequence and mass-spectrometry data analysis. Moreover, it presents significant enhancements to the chapter dedicated to microarray analysis, and more practical examples, with additional end-of-chapter problems.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 498
• Erscheinungstermin: 24. März 2025
• Englisch
• ISBN-13: 9783031756948
• Artikelnr.: 73715393

Autorenporträt

Gautam B. Singh is professor in the Department of Computer Science and Engineering, at Oakland University, Rochester, USA.

Inhaltsangabe

Introduction to Bioinformatics and Computational Biology.- Introduction to Molecular Biology and Genetics.- Processing Biological Sequences in MATLAB.

Rezensionen

"As this area of study has grown, textbooks such as this one are appearing for undergraduate or graduate courses in bioinformatics and computational biology. ... This book is an introduction to the use of computational techniques to analyze biological data. ... The book is logically organized, understandable, and clearly written ... . the book offers a competent overview of the core topics of bioinformatics." (G. R. Mayforth, Computing Reviews, September, 2015)

"This work, a recent addition to the introductory textbook arena, differentiates itself by utilizing MATLAB for sequence analysis and experimentation. ... the book offers one more good choice for introductory bioinformatics courses and can be especially valuable to students who are already familiar with MATLAB. Summing Up: Recommended. Upper-division undergraduates and graduate students." (D. Papamichail, Choice, Vol. 52 (9), May, 2015)

"The author accomplishes his declared objective: to contribute tothe creation ofeducational resources for undergraduate students in computer engineering who are interested in specializing in the new field of bioinformatics. Responding to this need, every chapter includes many examples using MATLAB bioinformatics tools and some proposed exercises." (Valentin V. Inceu, Computing Reviews, March, 2015)

"This book is built as an introductory textbook (structured for students with computing background) for the rapidly developing, interdisciplinary field of bioinformatics. ... although written for students (undergraduate and post-graduate) with a background in computing, the book can be adapted for students with a background in biology or chemistry. This book is a timely addition to the recently emerged and quickly developing field of computational biology." (Irina Ioana Mohorianu, zbMATH 1306.92001, 2015)