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PMID: 14555620 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study

A fast layout algorithm for protein interaction networks.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 15 ·2003-10-12 ·Pages 1882-8

Han K, Ju BH

Abstract

Graph drawing algorithms are often used for visualizing relational information, but a naive implementation of a graph drawing algorithm encounters real difficulties when drawing large-scale graphs such as protein interaction networks. We have developed a new, extremely fast layout algorithm for visualizing large-scale protein interaction networks in the three-dimensional space. The algorithm (1) first finds a layout of connected components of an entire network, (2) finds a global layout of nodes with respect to pivot nodes within a connected component and (3) refines the local layout of each connected component by first relocating midnodes with respect to their cutvertices and direct neighbors of the cutvertices and then by relocating all nodes with respect to their neighbors within distance 2. Advantages of this algorithm over classical graph drawing methods include: (1) it is an order of magnitude faster, (2) it can directly visualize data from protein interaction databases and (3) it provides several abstraction and comparison operations for effectively analyzing large-scale protein interaction networks. http://wilab.inha.ac.kr/interviewer/

MeSH Terms
Algorithms Combinatorial Chemistry Techniques Computer Graphics DNA Repair/physiology Models, Biological Models, Chemical Protein Binding Protein Interaction Mapping/methods Proteins/chemistry,metabolism Proteome/metabolism Quality Control Reproducibility of Results Sensitivity and Specificity Signal Transduction/physiology User-Computer Interface
Chemicals
Proteins Proteome
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Han Kyungsook
School of Computer Science & Engineering, Inha University, Inchon 402-751, Korea. [email protected]
Ju Byong-Hyon
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2003-10-12
Pages
1882-8
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
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