Bioinformatics Challenges at the Interface of Biology and Computer Science

Mind the Gap

Nonfiction, Science & Nature, Science, Biological Sciences, Genetics
Cover of the book Bioinformatics Challenges at the Interface of Biology and Computer Science by Teresa K. Attwood, Stephen R. Pettifer, David Thorne, Wiley
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Author: Teresa K. Attwood, Stephen R. Pettifer, David Thorne ISBN: 9781119243458
Publisher: Wiley Publication: August 26, 2016
Imprint: Wiley-Blackwell Language: English
Author: Teresa K. Attwood, Stephen R. Pettifer, David Thorne
ISBN: 9781119243458
Publisher: Wiley
Publication: August 26, 2016
Imprint: Wiley-Blackwell
Language: English

This innovative book provides a completely fresh exploration of bioinformatics, investigating its complex interrelationship with biology and computer science. It approaches bioinformatics from a unique perspective, highlighting interdisciplinary gaps that often trap the unwary.

The book considers how the need for biological databases drove the evolution of bioinformatics; it reviews bioinformatics basics (including database formats, data-types and current analysis methods), and examines key topics in computer science (including data-structures, identifiers and algorithms), reflecting on their use and abuse in bioinformatics.

Bringing these disciplines together, this book is an essential read for those who wish to better understand the challenges for bioinformatics at the interface of biology and computer science, and how to bridge the gaps. It will be an invaluable resource for advanced undergraduate and postgraduate students, and for lecturers, researchers and professionals with an interest in this fascinating, fast-moving discipline and the knotty problems that surround it.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This innovative book provides a completely fresh exploration of bioinformatics, investigating its complex interrelationship with biology and computer science. It approaches bioinformatics from a unique perspective, highlighting interdisciplinary gaps that often trap the unwary.

The book considers how the need for biological databases drove the evolution of bioinformatics; it reviews bioinformatics basics (including database formats, data-types and current analysis methods), and examines key topics in computer science (including data-structures, identifiers and algorithms), reflecting on their use and abuse in bioinformatics.

Bringing these disciplines together, this book is an essential read for those who wish to better understand the challenges for bioinformatics at the interface of biology and computer science, and how to bridge the gaps. It will be an invaluable resource for advanced undergraduate and postgraduate students, and for lecturers, researchers and professionals with an interest in this fascinating, fast-moving discipline and the knotty problems that surround it.

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