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...
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Veröffentlicht in: | Nucleic acids research 2014-01, Vol.42 (Database issue), p.D944-D949 |
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creator | Dayem Ullah, Abu Z Cutts, Rosalind J Ghetia, Millika Gadaleta, Emanuela Hahn, Stephan A Crnogorac-Jurcevic, Tatjana Lemoine, Nicholas R Chelala, Claude |
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. |
doi_str_mv | 10.1093/nar/gkt959 |
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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.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkt959</identifier><identifier>PMID: 24163255</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Animals ; Databases, Genetic ; Gene Expression ; Humans ; Internet ; Mice ; Pancreas - metabolism ; Pancreatic Neoplasms - genetics ; Pancreatic Neoplasms - metabolism ; V. 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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.</description><subject>Animals</subject><subject>Databases, Genetic</subject><subject>Gene Expression</subject><subject>Humans</subject><subject>Internet</subject><subject>Mice</subject><subject>Pancreas - metabolism</subject><subject>Pancreatic Neoplasms - genetics</subject><subject>Pancreatic Neoplasms - metabolism</subject><subject>V. 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Human genome, model organisms, comparative genomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dayem Ullah, Abu Z</creatorcontrib><creatorcontrib>Cutts, Rosalind J</creatorcontrib><creatorcontrib>Ghetia, Millika</creatorcontrib><creatorcontrib>Gadaleta, Emanuela</creatorcontrib><creatorcontrib>Hahn, Stephan A</creatorcontrib><creatorcontrib>Crnogorac-Jurcevic, Tatjana</creatorcontrib><creatorcontrib>Lemoine, Nicholas R</creatorcontrib><creatorcontrib>Chelala, Claude</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dayem Ullah, Abu Z</au><au>Cutts, Rosalind J</au><au>Ghetia, Millika</au><au>Gadaleta, Emanuela</au><au>Hahn, Stephan A</au><au>Crnogorac-Jurcevic, Tatjana</au><au>Lemoine, Nicholas R</au><au>Chelala, Claude</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The pancreatic expression database: recent extensions and updates</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>42</volume><issue>Database issue</issue><spage>D944</spage><epage>D949</epage><pages>D944-D949</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>24163255</pmid><doi>10.1093/nar/gkt959</doi><oa>free_for_read</oa></addata></record> |
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subjects | Animals Databases, Genetic Gene Expression Humans Internet Mice Pancreas - metabolism Pancreatic Neoplasms - genetics Pancreatic Neoplasms - metabolism V. Human genome, model organisms, comparative genomics |
title | The pancreatic expression database: recent extensions and updates |
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