Comparison of network-based pathway analysis methods

Papin, J. A.; Stelling, J.; Price, N. D.; Klamt, S.; Schuster, S.; Palsson, B. O.

doi:10.1016/j.tibtech.2004.06.010

Local TagsRelease HistoryDetailsSummary

Comparison of network-based pathway analysis methods

Papin, J. A., Stelling, J., Price, N. D., Klamt, S., Schuster, S., & Palsson, B. O. (2004). Comparison of network-based pathway analysis methods. Trends in Biotechnology, 22(8), 400-405. doi:10.1016/j.tibtech.2004.06.010.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-9ED6-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-F485-9

Genre: Journal Article

Files

show Files

Locators

show

Creators

show

hide

Creators:
Papin, J. A.¹, Author
Stelling, J.², Author
Price, N. D.¹, Author
Klamt, S.², Author
Schuster, S.³, Author
Palsson, B. O.³, Author

Affiliations:
1University of California, Department of Bioengineering, S. Diego, United States , ou_persistent22
2Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155
3Jena University, Department of Bioinformatics, Jena, Germany , ou_persistent22

Content

show

hide

Free keywords: -

Abstract: Network-based definitions of biochemical pathways have emerged in recent years. These pathway definitions insist on the balanced use of a whole network of biochemical reactions. Two such related definitions, elementary modes and extreme pathways, have generated novel hypotheses regarding biochemical network function. The relationship between these two approaches can be illustrated by comparing and contrasting the elementary modes and extreme pathways of previously published metabolic reconstructions of the human red blood cell (RBC) and the human pathogen Helicobacter pylori. Descriptions of network properties generated by using these two approaches in the analysis of realistic metabolic networks need careful interpretation. Copyright © 2004 Elsevier Ltd. All rights reserved. [accessed 2013 June 13th]

Details

show

hide

Language(s): eng - English

Dates: Date issued: 2004

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.1016/j.tibtech.2004.06.010
eDoc: 208471
Other: 50/04

Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show

hide

Title: Trends in Biotechnology

Source Genre: Journal

Creator(s):

Affiliations:

Publ. Info: -

Pages: - Volume / Issue: 22 (8) Sequence Number: - Start / End Page: 400 - 405 Identifier: -