Concepts in Genomics and Bioinformatics

ISBN : 9780190610548

Jamil Momand; Alison McCurdy; Silvia Heubach; Nancy Warter-Perez
448 ページ
216 x 279 mm
  • Balanced presentation. Biology, mathematics, and computer science are presented in a balanced way that highlights connections between the three areas and makes the material accessible to all students, no matter what their backgrounds are.
  • Flexible organization. Chapters are designed as stand-alone units, allowing instructors to introduce biology, mathematics, and programming topics in order of preference.
  • Overview of molecular biology. Chapter 1 provides the essential biology concepts and vocabulary needed for understanding bioinformatics.
  • Mathematics chapters. Contributed by Silvia Heubach (California State University, Los Angeles), Chapters 11 and 12 introduce basic probability as it leads up to the concept of Expect value (E-value) and its use in sequence alignment programs, including discussions of Hidden Markov chains.
  • Basic programming. Two concluding chapters contributed by Nancy Warter-Perez (California State University, Los Angeles) introduce students to programming exercises directly related to bioinformatics problems, including hands-on work with Python-a popular and commonly used programming language in this field.
  • Case study of TP53. Discussions of TP53, the p53 tumor suppressor gene, are woven throughout the text in order to provide students with a consistent case study and give them insights to this clinically relevant gene.
  • Rich pedagogy. The book includes in-text glossary terms, a comprehensive index, extensive footnotes, thought-provoking exercises, "Scientist Spotlight" boxes featuring biographies of pioneers in bioinformatics, and much more.

Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data. It presents many thought-provoking exercises to stretch students' imaginations, giving them a deeper understanding of the molecular biology, basic probability, software programs, and program-coding methodology underpinning this exciting field.


About the Author

1: Review of Molecular Biology
2: Information organization and sequence databases
3: Molecular Evolution
4: Substitution matrices
5: Pairwise sequence alignment
6: Basic Local Alignment Sequence Tool and Multiple Sequence Alignment
7: Protein structure prediction
8: Phylogenetics
9: Genomics
10: Transcript and protein expression analysis
11: Basic probability
12: Advanced probability for bioinformatics applications
13: Programming basics and applications to bioinformatics
14: Developing a bioinformatics tool


Jamil Momand, Professor of Biochemistry, California State University, Los Angeles, Alison McCurdy, California State University Los Angeles, Notes by Silvia Heubach, California State University Los Angeles, and Notes by Nancy Warter-Perez, Professor, California State University Los Angeles
Jamil Momand has been a professor of biochemistry at California State University, Los Angeles (Cal State LA) since 1999. Dr. Momand received the Cal State LA Outstanding Professor Award for the 2014-2015 academic year.
Alison McCurdy is a Professor of Chemistry at California State University, Los Angeles. She was the recipient of the 2009 California State University Distinguished Woman Award.
Silvia Heubach
Nancy Warter-Perez

"It is a real problem that bioinformatics requires aptitude in both biology and computing, yet the textbook market has not fully risen to meet this challenge for the undergraduates. I see this text as helping to bridge this gap. I would consider adopting this text because it is taking the biology-computation balance seriously and using what has become the dominant scripting language for biologists, Python." - Preston Aldrich, Bendectine University

"Concepts in Bioinformatics and Genomics is an excellent book covering bioinformatics concept essential for undergraduate students in bioinformatics majors, or biomedical informatics majors. What I like the most is the 'real life' sort of example and exercises provided throughout the chapters." - Mai Zahran, CUNY New York City College of Technology

"I am excited about this new bioinformatics book that is well-suited for either computer science students without much of a background in biology, or my more typical case of biology students without much of a background in computer science. I think the book will withstand the test of time in that it does not rely on ever-changing websites for practical exercises but on learning concepts and developing thought processes that will help students understand the field of bioinformatics. I think that this book will keep the students' interest as well as teach them all the principles of bioinformatics that they need to know." - James S. Godde, Monmouth College

"First and foremost, this text has well-balanced coverage of the subject, in both breadth and depth, between biology and computing. The overall presentation is pedagogically well crafted with a lot of concrete examples and graphics. I am sure that this book will positively impact the teaching of bioinformatics." - Li Liao, University of Delaware

"I like the approach of focusing on fundamentals, as well as flexibility of chapter ordering, which would work with my applications-focused approach where I can focus on specific modules depending on semester/class composition. Compared with my current text (Pevsner's 2nd ed), this is appealing." - Helen Piontkivska, Kent State University

"Prof. Jamil Momand book "Concepts of Bioinformatics and Genomics" represents a solid addition to the list of existing bioinformatics textbooks. The approach taken by Prof. Jamil Momand, where he combines simply worded description of complex problems with exciting examples and historical facts makes this book an interesting read. In my view, this is exactly what we need." - Vladimir Uversky, University of South Florida

"After using this text students will be able to grasp difficult areas of computational biology and gain an appreciation for and excitement about the potential that bioinformatics offers." - Erich Baker, Baylor University