Computational modelling of biological pathways

This report describes how a metabolic network can be modelled using a 'top-down' or 'phenomic' approach relating individual constituent metabolites.

Saved in:
Bibliographic Details
Main Author: Kumar Selvarajoo
Other Authors: Lim, Mong King
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/5908
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-5908
record_format dspace
spelling sg-ntu-dr.10356-59082023-03-11T16:55:02Z Computational modelling of biological pathways Kumar Selvarajoo Lim, Mong King School of Mechanical and Production Engineering Tan, Patrick Boon Ooi DRNTU::Engineering::Bioengineering This report describes how a metabolic network can be modelled using a 'top-down' or 'phenomic' approach relating individual constituent metabolites. Doctor of Philosophy (MPE) 2008-09-17T11:02:03Z 2008-09-17T11:02:03Z 2004 2004 Thesis http://hdl.handle.net/10356/5908 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Kumar Selvarajoo
Computational modelling of biological pathways
description This report describes how a metabolic network can be modelled using a 'top-down' or 'phenomic' approach relating individual constituent metabolites.
author2 Lim, Mong King
author_facet Lim, Mong King
Kumar Selvarajoo
format Theses and Dissertations
author Kumar Selvarajoo
author_sort Kumar Selvarajoo
title Computational modelling of biological pathways
title_short Computational modelling of biological pathways
title_full Computational modelling of biological pathways
title_fullStr Computational modelling of biological pathways
title_full_unstemmed Computational modelling of biological pathways
title_sort computational modelling of biological pathways
publishDate 2008
url http://hdl.handle.net/10356/5908
_version_ 1761781838059143168