WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data

<p>Abstract</p> <p>Background</p> <p>Analysis of High Throughput (HTP) Data such as microarray and proteomics data has provided a powerful methodology to study patterns of gene regulation at genome scale. A major unresolved problem in the post-genomic era is to assemble...

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Main Authors: Cohen Jonathan C, Horton Jay D, Yi Ming, Hobbs Helen H, Stephens Robert M
Format: Article
Language:English
Published: BMC 2006-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/30
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spelling doaj-d5cba1d817d44cd084d3cd760a45674e2020-11-24T21:49:48ZengBMCBMC Bioinformatics1471-21052006-01-01713010.1186/1471-2105-7-30WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput dataCohen Jonathan CHorton Jay DYi MingHobbs Helen HStephens Robert M<p>Abstract</p> <p>Background</p> <p>Analysis of High Throughput (HTP) Data such as microarray and proteomics data has provided a powerful methodology to study patterns of gene regulation at genome scale. A major unresolved problem in the post-genomic era is to assemble the large amounts of data generated into a meaningful biological context. We have developed a comprehensive software tool, WholePathwayScope (WPS), for deriving biological insights from analysis of HTP data.</p> <p>Result</p> <p>WPS extracts gene lists with shared biological themes through color cue templates. WPS statistically evaluates global functional category enrichment of gene lists and pathway-level pattern enrichment of data. WPS incorporates well-known biological pathways from KEGG (Kyoto Encyclopedia of Genes and Genomes) and Biocarta, GO (Gene Ontology) terms as well as user-defined pathways or relevant gene clusters or groups, and explores gene-term relationships within the derived gene-term association networks (GTANs). WPS simultaneously compares multiple datasets within biological contexts either as pathways or as association networks. WPS also integrates Genetic Association Database and Partial MedGene Database for disease-association information. We have used this program to analyze and compare microarray and proteomics datasets derived from a variety of biological systems. Application examples demonstrated the capacity of WPS to significantly facilitate the analysis of HTP data for integrative discovery.</p> <p>Conclusion</p> <p>This tool represents a pathway-based platform for discovery integration to maximize analysis power. The tool is freely available at <url>http://www.abcc.ncifcrf.gov/wps/wps_index.php</url>.</p> http://www.biomedcentral.com/1471-2105/7/30
collection DOAJ
language English
format Article
sources DOAJ
author Cohen Jonathan C
Horton Jay D
Yi Ming
Hobbs Helen H
Stephens Robert M
spellingShingle Cohen Jonathan C
Horton Jay D
Yi Ming
Hobbs Helen H
Stephens Robert M
WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
BMC Bioinformatics
author_facet Cohen Jonathan C
Horton Jay D
Yi Ming
Hobbs Helen H
Stephens Robert M
author_sort Cohen Jonathan C
title WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
title_short WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
title_full WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
title_fullStr WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
title_full_unstemmed WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
title_sort wholepathwayscope: a comprehensive pathway-based analysis tool for high-throughput data
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2006-01-01
description <p>Abstract</p> <p>Background</p> <p>Analysis of High Throughput (HTP) Data such as microarray and proteomics data has provided a powerful methodology to study patterns of gene regulation at genome scale. A major unresolved problem in the post-genomic era is to assemble the large amounts of data generated into a meaningful biological context. We have developed a comprehensive software tool, WholePathwayScope (WPS), for deriving biological insights from analysis of HTP data.</p> <p>Result</p> <p>WPS extracts gene lists with shared biological themes through color cue templates. WPS statistically evaluates global functional category enrichment of gene lists and pathway-level pattern enrichment of data. WPS incorporates well-known biological pathways from KEGG (Kyoto Encyclopedia of Genes and Genomes) and Biocarta, GO (Gene Ontology) terms as well as user-defined pathways or relevant gene clusters or groups, and explores gene-term relationships within the derived gene-term association networks (GTANs). WPS simultaneously compares multiple datasets within biological contexts either as pathways or as association networks. WPS also integrates Genetic Association Database and Partial MedGene Database for disease-association information. We have used this program to analyze and compare microarray and proteomics datasets derived from a variety of biological systems. Application examples demonstrated the capacity of WPS to significantly facilitate the analysis of HTP data for integrative discovery.</p> <p>Conclusion</p> <p>This tool represents a pathway-based platform for discovery integration to maximize analysis power. The tool is freely available at <url>http://www.abcc.ncifcrf.gov/wps/wps_index.php</url>.</p>
url http://www.biomedcentral.com/1471-2105/7/30
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