Abstract
We will survey the field of computational biology and discuss the many interesting computational challenges and opportunities in areas such as genomics, functional and structural genomics, pharmacogenomics, combinatorial chemistry/ high throughput screening, and others of current interest.
Chapter PDF
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Unger, S., Komornicki, A. (2001). Computational Biology: IT Challenges and Opportunities. In: Alexandrov, V.N., Dongarra, J.J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds) Computational Science — ICCS 2001. ICCS 2001. Lecture Notes in Computer Science, vol 2073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45545-0_12
Download citation
DOI: https://doi.org/10.1007/3-540-45545-0_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42232-7
Online ISBN: 978-3-540-45545-5
eBook Packages: Springer Book Archive