Abstract
A fundamental goal of biology is to understand how living cells work. Recent developments in biotechnology and information processing have revolutionized this research field. Computational biology is a major component of this revolution and a fertile source of interesting problems related to algorithm design, combinatorics, statistics, combinatorial optimization, pattern recognition, data mining and computational learning theory. The speaker will provide an overview of this field, describing such areas as genomic mapping and sequencing, sequence analysis and analysis of gene expression data. He will then describe how his research in this field has called upon his background in theoretical computer science but required a shift in his approach to the design and development of algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Karp, R.M. (2000). The Genomics Revolution and Its Challenges for Algorithmic Research. In: Montanari, U., Rolim, J.D.P., Welzl, E. (eds) Automata, Languages and Programming. ICALP 2000. Lecture Notes in Computer Science, vol 1853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45022-X_36
Download citation
DOI: https://doi.org/10.1007/3-540-45022-X_36
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67715-4
Online ISBN: 978-3-540-45022-1
eBook Packages: Springer Book Archive