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dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes
BACKGROUND: Cervical cancers are ranked the second-most hazardous ailments among women worldwide. In the past two decades, microarray technologies have been applied to study genes involved in malignancy progress. However, in most of the published microarray studies, only a few genes were reported le...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053392/ https://www.ncbi.nlm.nih.gov/pubmed/24918550 http://dx.doi.org/10.1371/journal.pone.0099834 |
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author | Zhou, Limin Zheng, Wei Luo, Majing Feng, Jing Jin, Zhichun Wang, Yan Zhang, Dunlan Tang, Qiongxiu He, Yan |
author_facet | Zhou, Limin Zheng, Wei Luo, Majing Feng, Jing Jin, Zhichun Wang, Yan Zhang, Dunlan Tang, Qiongxiu He, Yan |
author_sort | Zhou, Limin |
collection | PubMed |
description | BACKGROUND: Cervical cancers are ranked the second-most hazardous ailments among women worldwide. In the past two decades, microarray technologies have been applied to study genes involved in malignancy progress. However, in most of the published microarray studies, only a few genes were reported leaving rather a large amount of data unused. Also, RNA-Seq data has become more standard for transcriptome analysis and is widely applied in cancer studies. There is a growing demand for a tool to help the experimental researchers who are keen to explore cervical cancer gene therapy, but lack computer expertise to access and analyze the high throughput gene expression data. DESCRIPTION: The dbCerEx database is designed to retrieve and process gene expression data from cervical cancer samples. It includes the genome wide expression profiles of cervical cancer samples, as well as a web utility to cluster genes with similar expression patterns. This feature will help researchers conduct further research to uncover novel gene functions. CONCLUSION: The dbCerEx database is freely available for non-commercial use at http://128.135.207.10/dbCerEx/, and will be updated and integrated with more features as needed. |
format | Online Article Text |
id | pubmed-4053392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40533922014-06-18 dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes Zhou, Limin Zheng, Wei Luo, Majing Feng, Jing Jin, Zhichun Wang, Yan Zhang, Dunlan Tang, Qiongxiu He, Yan PLoS One Research Article BACKGROUND: Cervical cancers are ranked the second-most hazardous ailments among women worldwide. In the past two decades, microarray technologies have been applied to study genes involved in malignancy progress. However, in most of the published microarray studies, only a few genes were reported leaving rather a large amount of data unused. Also, RNA-Seq data has become more standard for transcriptome analysis and is widely applied in cancer studies. There is a growing demand for a tool to help the experimental researchers who are keen to explore cervical cancer gene therapy, but lack computer expertise to access and analyze the high throughput gene expression data. DESCRIPTION: The dbCerEx database is designed to retrieve and process gene expression data from cervical cancer samples. It includes the genome wide expression profiles of cervical cancer samples, as well as a web utility to cluster genes with similar expression patterns. This feature will help researchers conduct further research to uncover novel gene functions. CONCLUSION: The dbCerEx database is freely available for non-commercial use at http://128.135.207.10/dbCerEx/, and will be updated and integrated with more features as needed. Public Library of Science 2014-06-11 /pmc/articles/PMC4053392/ /pubmed/24918550 http://dx.doi.org/10.1371/journal.pone.0099834 Text en © 2014 Zhou 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 Zhou, Limin Zheng, Wei Luo, Majing Feng, Jing Jin, Zhichun Wang, Yan Zhang, Dunlan Tang, Qiongxiu He, Yan dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title | dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title_full | dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title_fullStr | dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title_full_unstemmed | dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title_short | dbCerEx: A Web-Based Database for the Analysis of Cervical Cancer Transcriptomes |
title_sort | dbcerex: a web-based database for the analysis of cervical cancer transcriptomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053392/ https://www.ncbi.nlm.nih.gov/pubmed/24918550 http://dx.doi.org/10.1371/journal.pone.0099834 |
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