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Computational challenges of systems biology

Finkelstein, A.; Hetherington, J.; Li., L.; Margoninski, O.; Saffrey, P.; Seymour, R.; Warner, A.; (2004) Computational challenges of systems biology. Computer , 37 (5) pp. 26-33. 10.1109/MC.2004.1297236. Green open access

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Abstract

Progress in the study of biological systems such as the heart, brain, and liver will require computer scientists to work closely with life scientists and mathematicians. Computer science will play a key role in shaping the new discipline of systems biology and addressing the significant computational challenges it poses.

Type: Article
Title: Computational challenges of systems biology
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MC.2004.1297236
Publisher version: http://dx.doi.org/10.1109/MC.2004.1297236
Language: English
Additional information: ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science > CoMPLEX: Mat&Phys in Life Sci and Exp Bio
URI: https://discovery.ucl.ac.uk/id/eprint/10844
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