Bioinformatics for Computer Science
Foundations in Molecular Biology
Published on 1. October 2012
Book
Hardback
270 pages
978-1-907568-32-9 (ISBN)
Description
This key book serves as a comprehensive introduction to the required molecular biology background necessary for non-biologists - especially computer scientists - to engage in bioinformatics-based research programs. Bioinformatics for computer science bridges the gap between the underlying biological questions and the methodologies employed in bioinformatics. The goal is to provide both the biologist with some of the required computational knowledge, and the non-biologist with the necessary understanding of the required concepts to allow them to develop more domain-specific approaches to address key questions in bioinformatics.
This key book serves as a comprehensive introduction to the required molecular biology background necessary for non-biologists - especially computer scientists - to engage in bioinformatics-based research programs. Bioinformatics for computer science bridges the gap between the underlying biological questions and the methodologies employed in bioinformatics. The goal is to provide both the biologist with some of the required computational knowledge, and the non-biologist with the necessary understanding of the required concepts to allow them to develop more domain-specific approaches to address key questions in bioinformatics.
This key book serves as a comprehensive introduction to the required molecular biology background necessary for non-biologists - especially computer scientists - to engage in bioinformatics-based research programs. Bioinformatics for computer science bridges the gap between the underlying biological questions and the methodologies employed in bioinformatics. The goal is to provide both the biologist with some of the required computational knowledge, and the non-biologist with the necessary understanding of the required concepts to allow them to develop more domain-specific approaches to address key questions in bioinformatics.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-907568-32-9 (9781907568329)
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Schweitzer Classification
Person
Dr Kenneth Revett is a Senior Lecturer in the School of Electronics and Computer Science, University of Westminster, UK. He has a BSc in biochemistry and neurophysiology, University of Maryland, College Park Campus, USA, and a PhD in Computational neuroscience, from the University of Maryland, College Park Campus, USA. He lectures at undergraduate and postgraduate levels in bioinformatics, neuroscience and biometrics, along with programming classes such as C++ and C#. He is the author of a book entitled Behavioral Biometrics, published by John Wiley.
Dr Kenneth Revett is a Senior Lecturer in the School of Electronics and Computer Science, University of Westminster, UK. He has a BSc in biochemistry and neurophysiology, University of Maryland, College Park Campus, USA, and a PhD in Computational neuroscience, from the University of Maryland, College Park Campus, USA. He lectures at undergraduate and postgraduate levels in bioinformatics, neuroscience and biometrics, along with programming classes such as C++ and C#. He is the author of a book entitled Behavioral Biometrics, published by John Wiley.
Dr Kenneth Revett is a Senior Lecturer in the School of Electronics and Computer Science, University of Westminster, UK. He has a BSc in biochemistry and neurophysiology, University of Maryland, College Park Campus, USA, and a PhD in Computational neuroscience, from the University of Maryland, College Park Campus, USA. He lectures at undergraduate and postgraduate levels in bioinformatics, neuroscience and biometrics, along with programming classes such as C++ and C#. He is the author of a book entitled Behavioral Biometrics, published by John Wiley.
Content
Section 1 the biological perspective: An introduction to molecular biology; Nucleic acids; Proteins; Carbohydrates. Section 2 The computational perspective: Sequence analysis; The relationship between structure and function. Section 3 The future in bioinformatics: How can we integrate the 'omics'? References.