An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kinds of questions these data and tools can answer, such as how to make inferences from data archives and how to make connections among them to derive useful and interesting predictions.
Blending factual content with many opportunities for active learning, An Introduction to Bioinformatics offers a truly reader-friendly way to get to grips with this subject, making it the ideal resource for anyone new to the field.
Features
- Strikes a careful balance between biology and computer science, introducing those aspects of computer science which underpin the subject without demanding detailed prior knowledge.
- Contains numerous learning features, including exercises, problems, and WebLems.
- Retains the eloquent style and clarity of explanation for which the author is renowned.
- An Online Resource Centre includes figures from the book available to download to facilitate lecture preparation, as well as a variety of interactive resources, including web links, 3D structures, and data sets.
ew to this Edition
- New chapter on biological organization in space and reflects recent advances in genomics, transcriptomics, proteomics, and metabolomics.
- New chapter on scientific publications and archives provides a state of the art inventory on sourcing scientific literature.
- Expanded coverage of structural bioinformatics.
- Enhanced Online Resource Centre, with new guided tours of key websites, and lab assignments to support the in-depth exploration of concepts and themes covered in the book.
"synopsis" may belong to another edition of this title.
Arthur M. Lesk is Professor of Biochemistry and Molecular Biology at the Pennsylvania State University, USA.
`Review from previous edition I have a very favourable opinion of this book. It covers the basics of all aspects of bioinformatics at a level that is very compatible with how I teach. The amount of material presented is appropriate for a one semester class. The problems are excellent: well
thought out and plentiful.'
Dr Mitrick A. Johns, Northern Illinois University, USA
`I like Lesk's conceptual style. It is close to how I teach...it provides a little bit of web sites, a little bit of algorithms, a little bit of theory, and much casual exposure to a range of bioinformatics topics. It is easy to use as a text.
'
Dr Lorraine Marsh, Long Island University, USA
`This is a very good introductory textbook in bioinformatics. It is well-structured and nicely laid out. There are numerous examples and problems attached to each chapter, including the novel Weblems.'
Dr Karen Page, University College London, UK
`Overall the book is well laid out. There is a good mixture between information text and case studies. There is a good selection of recommended reading and problems at the end of each chapter. I like the learning goals at the beginning of each chapter and the plan of the book before chapter
1.'
Dr Dawn Louise Arnold, University of the West of England, UK
"About this title" may belong to another edition of this title.
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