Bioinformatics Challenges at the Interface of Biology and Computer Science (eBook)

Mind the Gap

Teresa K. Attwood, Stephen R. Pettifer, David Thorne (Autoren)

eBook Download: EPUB

2016
John Wiley & Sons (Verlag)
978-1-119-24345-8 (ISBN)

Infos

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.

Autor

Teresa K. Attwood, Professor of Bioinformatics, University of Manchester, UK. Stephen R. Pettifer, Lecturer of Computer Science,?University of Manchester, UK.

Produkt-Details

• Erscheint lt. Verlag: 26.8.2016
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
• Themenwelt: Technik
• Schlagworte: analysis methods • Bioinformatics • Bioinformatics & Computational Biology • Bioinformatik • Bioinformatik u. Computersimulationen in der Biowissenschaften • Biological databases • Biology • Biowissenschaften • Computational Biology • Computer Science • Computer Technology • data mining • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Data Types • Genetik • Human Computer Interaction • Informatik • Infrastructure • Knowledge • Life Sciences • Management • Mathematics • Mathematik • Mathematik in der Biologie
• ISBN-10: 1-119-24345-9 / 1119243459
• ISBN-13: 978-1-119-24345-8 / 9781119243458