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canEvolve: A Web Portal for Integrative Oncogenomics

BACKGROUND & OBJECTIVE: Genome-wide profiles of tumors obtained using functional genomics platforms are being deposited to the public repositories at an astronomical scale, as a result of focused efforts by individual laboratories and large projects such as the Cancer Genome Atlas (TCGA) and the...

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Autores principales: Samur, Mehmet Kemal, Yan, Zhenyu, Wang, Xujun, Cao, Qingyi, Munshi, Nikhil C., Li, Cheng, Shah, Parantu K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572035/
https://www.ncbi.nlm.nih.gov/pubmed/23418540
http://dx.doi.org/10.1371/journal.pone.0056228
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author Samur, Mehmet Kemal
Yan, Zhenyu
Wang, Xujun
Cao, Qingyi
Munshi, Nikhil C.
Li, Cheng
Shah, Parantu K.
author_facet Samur, Mehmet Kemal
Yan, Zhenyu
Wang, Xujun
Cao, Qingyi
Munshi, Nikhil C.
Li, Cheng
Shah, Parantu K.
author_sort Samur, Mehmet Kemal
collection PubMed
description BACKGROUND & OBJECTIVE: Genome-wide profiles of tumors obtained using functional genomics platforms are being deposited to the public repositories at an astronomical scale, as a result of focused efforts by individual laboratories and large projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium. Consequently, there is an urgent need for reliable tools that integrate and interpret these data in light of current knowledge and disseminate results to biomedical researchers in a user-friendly manner. We have built the canEvolve web portal to meet this need. RESULTS: canEvolve query functionalities are designed to fulfill most frequent analysis needs of cancer researchers with a view to generate novel hypotheses. canEvolve stores gene, microRNA (miRNA) and protein expression profiles, copy number alterations for multiple cancer types, and protein-protein interaction information. canEvolve allows querying of results of primary analysis, integrative analysis and network analysis of oncogenomics data. The querying for primary analysis includes differential gene and miRNA expression as well as changes in gene copy number measured with SNP microarrays. canEvolve provides results of integrative analysis of gene expression profiles with copy number alterations and with miRNA profiles as well as generalized integrative analysis using gene set enrichment analysis. The network analysis capability includes storage and visualization of gene co-expression, inferred gene regulatory networks and protein-protein interaction information. Finally, canEvolve provides correlations between gene expression and clinical outcomes in terms of univariate survival analysis. CONCLUSION: At present canEvolve provides different types of information extracted from 90 cancer genomics studies comprising of more than 10,000 patients. The presence of multiple data types, novel integrative analysis for identifying regulators of oncogenesis, network analysis and ability to query gene lists/pathways are distinctive features of canEvolve. canEvolve will facilitate integrative and meta-analysis of oncogenomics datasets. AVAILABILITY: The canEvolve web portal is available at http://www.canevolve.org/.
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spelling pubmed-35720352013-02-15 canEvolve: A Web Portal for Integrative Oncogenomics Samur, Mehmet Kemal Yan, Zhenyu Wang, Xujun Cao, Qingyi Munshi, Nikhil C. Li, Cheng Shah, Parantu K. PLoS One Research Article BACKGROUND & OBJECTIVE: Genome-wide profiles of tumors obtained using functional genomics platforms are being deposited to the public repositories at an astronomical scale, as a result of focused efforts by individual laboratories and large projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium. Consequently, there is an urgent need for reliable tools that integrate and interpret these data in light of current knowledge and disseminate results to biomedical researchers in a user-friendly manner. We have built the canEvolve web portal to meet this need. RESULTS: canEvolve query functionalities are designed to fulfill most frequent analysis needs of cancer researchers with a view to generate novel hypotheses. canEvolve stores gene, microRNA (miRNA) and protein expression profiles, copy number alterations for multiple cancer types, and protein-protein interaction information. canEvolve allows querying of results of primary analysis, integrative analysis and network analysis of oncogenomics data. The querying for primary analysis includes differential gene and miRNA expression as well as changes in gene copy number measured with SNP microarrays. canEvolve provides results of integrative analysis of gene expression profiles with copy number alterations and with miRNA profiles as well as generalized integrative analysis using gene set enrichment analysis. The network analysis capability includes storage and visualization of gene co-expression, inferred gene regulatory networks and protein-protein interaction information. Finally, canEvolve provides correlations between gene expression and clinical outcomes in terms of univariate survival analysis. CONCLUSION: At present canEvolve provides different types of information extracted from 90 cancer genomics studies comprising of more than 10,000 patients. The presence of multiple data types, novel integrative analysis for identifying regulators of oncogenesis, network analysis and ability to query gene lists/pathways are distinctive features of canEvolve. canEvolve will facilitate integrative and meta-analysis of oncogenomics datasets. AVAILABILITY: The canEvolve web portal is available at http://www.canevolve.org/. Public Library of Science 2013-02-13 /pmc/articles/PMC3572035/ /pubmed/23418540 http://dx.doi.org/10.1371/journal.pone.0056228 Text en © 2013 Samur et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Samur, Mehmet Kemal
Yan, Zhenyu
Wang, Xujun
Cao, Qingyi
Munshi, Nikhil C.
Li, Cheng
Shah, Parantu K.
canEvolve: A Web Portal for Integrative Oncogenomics
title canEvolve: A Web Portal for Integrative Oncogenomics
title_full canEvolve: A Web Portal for Integrative Oncogenomics
title_fullStr canEvolve: A Web Portal for Integrative Oncogenomics
title_full_unstemmed canEvolve: A Web Portal for Integrative Oncogenomics
title_short canEvolve: A Web Portal for Integrative Oncogenomics
title_sort canevolve: a web portal for integrative oncogenomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572035/
https://www.ncbi.nlm.nih.gov/pubmed/23418540
http://dx.doi.org/10.1371/journal.pone.0056228
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