PATIKAmad: putting microarray data into pathway context
Date
2008-06Source Title
Proteomics
Print ISSN
1615-9853
Electronic ISSN
1615-9861
Publisher
Wiley - V C H Verlag GmbH & Co. KGaA
Volume
8
Issue
11
Pages
2196 - 2198
Language
English
Type
ArticleItem Usage Stats
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Abstract
High-throughput experiments, most significantly DNA microarrays, provide us with system-scale profiles. Connecting these data with existing biological networks poses a formidable challenge to uncover facts about a cell's proteome. Studies and tools with this purpose are limited to networks with simple structure, such as protein-protein interaction graphs, or do not go much beyond than simply displaying values on the network. We have built a microarray data analysis tool, named PATIKAmad, which can be used to associate microarray data with the pathway models in mechanistic detail, and provides facilities for visualization, clustering, querying, and navigation of biological graphs related with loaded microarray experiments. PATIKAmad is freely available to noncommercial users as a new module of PATIKAweb at http://web.patika.org. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA.
Keywords
BioinformaticsGene expression
Molecular interaction
Pathways
DNA microarray
Internet
Microarray analysis
Priority journal
Protein database
Protein protein interaction
Algorithms
Cluster analysis
Computational biology
Data interpretation
Gene expression regulation
MAP kinase signaling system
Oligonucleotide array sequence analysis
Pattern recognition
Protein Interaction Mapping
Proteomics
Software
User-computer interface