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The pancreatic expression database: recent extensions and updates
The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) is the only device currently available for mining of pancreatic cancer literature data. It brings together the largest collection of multidimensional pancreatic data from the literature including genomic, proteomic, microRNA...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965100/ https://www.ncbi.nlm.nih.gov/pubmed/24163255 http://dx.doi.org/10.1093/nar/gkt959 |
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author | Dayem Ullah, Abu Z. Cutts, Rosalind J. Ghetia, Millika Gadaleta, Emanuela Hahn, Stephan A. Crnogorac-Jurcevic, Tatjana Lemoine, Nicholas R. Chelala, Claude |
author_facet | Dayem Ullah, Abu Z. Cutts, Rosalind J. Ghetia, Millika Gadaleta, Emanuela Hahn, Stephan A. Crnogorac-Jurcevic, Tatjana Lemoine, Nicholas R. Chelala, Claude |
author_sort | Dayem Ullah, Abu Z. |
collection | PubMed |
description | The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) is the only device currently available for mining of pancreatic cancer literature data. It brings together the largest collection of multidimensional pancreatic data from the literature including genomic, proteomic, microRNA, methylomic and transcriptomic profiles. PED allows the user to ask specific questions on the observed levels of deregulation among a broad range of specimen/experimental types including healthy/patient tissue and body fluid specimens, cell lines and murine models as well as related treatments/drugs data. Here we provide an update to PED, which has been previously featured in the Database issue of this journal. Briefly, PED data content has been substantially increased and expanded to cover methylomics studies. We introduced an extensive controlled vocabulary that records specific details on the samples and added data from large-scale meta-analysis studies. The web interface has been improved/redesigned with a quick search option to rapidly extract information about a gene/protein of interest and an upload option allowing users to add their own data to PED. We added a user guide and implemented integrated graphical tools to overlay and visualize retrieved information. Interoperability with biomart-compatible data sets was significantly improved to allow integrative queries with pancreatic cancer data. |
format | Online Article Text |
id | pubmed-3965100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39651002014-03-25 The pancreatic expression database: recent extensions and updates Dayem Ullah, Abu Z. Cutts, Rosalind J. Ghetia, Millika Gadaleta, Emanuela Hahn, Stephan A. Crnogorac-Jurcevic, Tatjana Lemoine, Nicholas R. Chelala, Claude Nucleic Acids Res V. Human genome, model organisms, comparative genomics The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) is the only device currently available for mining of pancreatic cancer literature data. It brings together the largest collection of multidimensional pancreatic data from the literature including genomic, proteomic, microRNA, methylomic and transcriptomic profiles. PED allows the user to ask specific questions on the observed levels of deregulation among a broad range of specimen/experimental types including healthy/patient tissue and body fluid specimens, cell lines and murine models as well as related treatments/drugs data. Here we provide an update to PED, which has been previously featured in the Database issue of this journal. Briefly, PED data content has been substantially increased and expanded to cover methylomics studies. We introduced an extensive controlled vocabulary that records specific details on the samples and added data from large-scale meta-analysis studies. The web interface has been improved/redesigned with a quick search option to rapidly extract information about a gene/protein of interest and an upload option allowing users to add their own data to PED. We added a user guide and implemented integrated graphical tools to overlay and visualize retrieved information. Interoperability with biomart-compatible data sets was significantly improved to allow integrative queries with pancreatic cancer data. Oxford University Press 2014-01-01 2013-10-25 /pmc/articles/PMC3965100/ /pubmed/24163255 http://dx.doi.org/10.1093/nar/gkt959 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | V. Human genome, model organisms, comparative genomics Dayem Ullah, Abu Z. Cutts, Rosalind J. Ghetia, Millika Gadaleta, Emanuela Hahn, Stephan A. Crnogorac-Jurcevic, Tatjana Lemoine, Nicholas R. Chelala, Claude The pancreatic expression database: recent extensions and updates |
title | The pancreatic expression database: recent extensions and updates |
title_full | The pancreatic expression database: recent extensions and updates |
title_fullStr | The pancreatic expression database: recent extensions and updates |
title_full_unstemmed | The pancreatic expression database: recent extensions and updates |
title_short | The pancreatic expression database: recent extensions and updates |
title_sort | pancreatic expression database: recent extensions and updates |
topic | V. Human genome, model organisms, comparative genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965100/ https://www.ncbi.nlm.nih.gov/pubmed/24163255 http://dx.doi.org/10.1093/nar/gkt959 |
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