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MeInfoText: associated gene methylation and cancer information from text mining
BACKGROUND: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a variety of human cancer cells. As more epigenetics research is published electronically, it is desirable to extract relevan...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258285/ https://www.ncbi.nlm.nih.gov/pubmed/18194557 http://dx.doi.org/10.1186/1471-2105-9-22 |
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author | Fang, Yu-Ching Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_facet | Fang, Yu-Ching Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_sort | Fang, Yu-Ching |
collection | PubMed |
description | BACKGROUND: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a variety of human cancer cells. As more epigenetics research is published electronically, it is desirable to extract relevant information from biological literature. To facilitate epigenetics research, we have developed a database called MeInfoText to provide gene methylation information from text mining. DESCRIPTION: MeInfoText presents comprehensive association information about gene methylation and cancer, the profile of gene methylation among human cancer types and the gene methylation profile of a specific cancer type, based on association mining from large amounts of literature. In addition, MeInfoText offers integrated protein-protein interaction and biological pathway information collected from the Internet. MeInfoText also provides pathway cluster information regarding to a set of genes which may contribute the development of cancer due to aberrant methylation. The extracted evidence with highlighted keywords and the gene names identified from each methylation-related abstract is also retrieved. The database is now available at . CONCLUSION: MeInfoText is a unique database that provides comprehensive gene methylation and cancer association information. It will complement existing DNA methylation information and will be useful in epigenetics research and the prevention of cancer. |
format | Text |
id | pubmed-2258285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22582852008-02-29 MeInfoText: associated gene methylation and cancer information from text mining Fang, Yu-Ching Huang, Hsuan-Cheng Juan, Hsueh-Fen BMC Bioinformatics Database BACKGROUND: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a variety of human cancer cells. As more epigenetics research is published electronically, it is desirable to extract relevant information from biological literature. To facilitate epigenetics research, we have developed a database called MeInfoText to provide gene methylation information from text mining. DESCRIPTION: MeInfoText presents comprehensive association information about gene methylation and cancer, the profile of gene methylation among human cancer types and the gene methylation profile of a specific cancer type, based on association mining from large amounts of literature. In addition, MeInfoText offers integrated protein-protein interaction and biological pathway information collected from the Internet. MeInfoText also provides pathway cluster information regarding to a set of genes which may contribute the development of cancer due to aberrant methylation. The extracted evidence with highlighted keywords and the gene names identified from each methylation-related abstract is also retrieved. The database is now available at . CONCLUSION: MeInfoText is a unique database that provides comprehensive gene methylation and cancer association information. It will complement existing DNA methylation information and will be useful in epigenetics research and the prevention of cancer. BioMed Central 2008-01-14 /pmc/articles/PMC2258285/ /pubmed/18194557 http://dx.doi.org/10.1186/1471-2105-9-22 Text en Copyright © 2008 Fang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Fang, Yu-Ching Huang, Hsuan-Cheng Juan, Hsueh-Fen MeInfoText: associated gene methylation and cancer information from text mining |
title | MeInfoText: associated gene methylation and cancer information from text mining |
title_full | MeInfoText: associated gene methylation and cancer information from text mining |
title_fullStr | MeInfoText: associated gene methylation and cancer information from text mining |
title_full_unstemmed | MeInfoText: associated gene methylation and cancer information from text mining |
title_short | MeInfoText: associated gene methylation and cancer information from text mining |
title_sort | meinfotext: associated gene methylation and cancer information from text mining |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258285/ https://www.ncbi.nlm.nih.gov/pubmed/18194557 http://dx.doi.org/10.1186/1471-2105-9-22 |
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