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Published: 07 June 2017

464 Pages | 264


ISBN: 9780190610548

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This text is published by OUP Higher Education Division

Concepts in Bioinformatics and Genomics

Jamil Momand, Alison McCurdy, Notes by Silvia Heubach, and Nancy Warter-Perez

  • 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.

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