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ChromSorter PC: A database of chromosomal regions associated with human prostate cancer

BACKGROUND: Our increasing use of genetic and genomic strategies to understand human prostate cancer means that we need access to simplified and integrated information present in the associated biomedical literature. In particular, microarray gene expression studies and associated genetic mapping st...

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Autores principales: Etim, Ann, Zhou, Guohui, Wen, Xinyu, Liu, Hang, Ruotti, Victor, Twigger, Simon, Jin, Weihong, Matysiak, Brian, Mathis, Jedidiah, Tonellato, Peter J, Datta, Milton W
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC416659/
https://www.ncbi.nlm.nih.gov/pubmed/15113398
http://dx.doi.org/10.1186/1471-2164-5-27
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author Etim, Ann
Zhou, Guohui
Wen, Xinyu
Liu, Hang
Ruotti, Victor
Twigger, Simon
Jin, Weihong
Matysiak, Brian
Mathis, Jedidiah
Tonellato, Peter J
Datta, Milton W
author_facet Etim, Ann
Zhou, Guohui
Wen, Xinyu
Liu, Hang
Ruotti, Victor
Twigger, Simon
Jin, Weihong
Matysiak, Brian
Mathis, Jedidiah
Tonellato, Peter J
Datta, Milton W
author_sort Etim, Ann
collection PubMed
description BACKGROUND: Our increasing use of genetic and genomic strategies to understand human prostate cancer means that we need access to simplified and integrated information present in the associated biomedical literature. In particular, microarray gene expression studies and associated genetic mapping studies in prostate cancer would benefit from a generalized understanding of the prior work associated with this disease. This would allow us to focus subsequent laboratory studies to genomic regions already related to prostate cancer by other scientific methods. We have developed a database of prostate cancer related chromosomal information from the existing biomedical literature. The input material was based on a broad literature search with subsequent hand annotation of information relevant to prostate cancer. DESCRIPTION: The database was then analyzed for identifiable trends in the whole scale literature. We have used this database, named ChromSorter PC, to present graphical summaries of chromosomal regions associated with prostate cancer broken down by age, ethnicity and experimental method. In addition we have placed the database information on the human genome using the Generic Genome Browser tool that allows the visualization of the data with respect to user generated datasets. CONCLUSIONS: We have used this database as an additional dataset for the filtering of genes identified through genetics and genomics studies as warranting follow-up validation studies. We would like to make this dataset publicly available for use by other groups. Using the Genome Browser allows for the graphical analysis of the associated data . Additional material from the database can be obtained by contacting the authors (mdatta@mcw.edu).
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spelling pubmed-4166592004-05-26 ChromSorter PC: A database of chromosomal regions associated with human prostate cancer Etim, Ann Zhou, Guohui Wen, Xinyu Liu, Hang Ruotti, Victor Twigger, Simon Jin, Weihong Matysiak, Brian Mathis, Jedidiah Tonellato, Peter J Datta, Milton W BMC Genomics Database BACKGROUND: Our increasing use of genetic and genomic strategies to understand human prostate cancer means that we need access to simplified and integrated information present in the associated biomedical literature. In particular, microarray gene expression studies and associated genetic mapping studies in prostate cancer would benefit from a generalized understanding of the prior work associated with this disease. This would allow us to focus subsequent laboratory studies to genomic regions already related to prostate cancer by other scientific methods. We have developed a database of prostate cancer related chromosomal information from the existing biomedical literature. The input material was based on a broad literature search with subsequent hand annotation of information relevant to prostate cancer. DESCRIPTION: The database was then analyzed for identifiable trends in the whole scale literature. We have used this database, named ChromSorter PC, to present graphical summaries of chromosomal regions associated with prostate cancer broken down by age, ethnicity and experimental method. In addition we have placed the database information on the human genome using the Generic Genome Browser tool that allows the visualization of the data with respect to user generated datasets. CONCLUSIONS: We have used this database as an additional dataset for the filtering of genes identified through genetics and genomics studies as warranting follow-up validation studies. We would like to make this dataset publicly available for use by other groups. Using the Genome Browser allows for the graphical analysis of the associated data . Additional material from the database can be obtained by contacting the authors (mdatta@mcw.edu). BioMed Central 2004-04-28 /pmc/articles/PMC416659/ /pubmed/15113398 http://dx.doi.org/10.1186/1471-2164-5-27 Text en Copyright © 2004 Etim et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Database
Etim, Ann
Zhou, Guohui
Wen, Xinyu
Liu, Hang
Ruotti, Victor
Twigger, Simon
Jin, Weihong
Matysiak, Brian
Mathis, Jedidiah
Tonellato, Peter J
Datta, Milton W
ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title_full ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title_fullStr ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title_full_unstemmed ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title_short ChromSorter PC: A database of chromosomal regions associated with human prostate cancer
title_sort chromsorter pc: a database of chromosomal regions associated with human prostate cancer
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC416659/
https://www.ncbi.nlm.nih.gov/pubmed/15113398
http://dx.doi.org/10.1186/1471-2164-5-27
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