| October 2012 : PED is described in the recent publication: Systems Biology in Cancer Research and Drug Discovery (ISBN 978-94-007-4819-4).
PED is described in the following chapter.
Emanuela Gadaleta, Rosalind J. Cutts, Ajanthah Sangaralingam, Nicholas R. Lemoine, and Claude Chelala.
An Integrated Systems Approach to the Study of Pancreatic Cancer
| June 2011:The Pancreatic Expression database contributes to the Database Journal BioMart special edition
| 05 January 2011: The Pancreatic Expression database publication highlighted as a featured article in the Nucleic Acids Research 2011 database issue
The latest PED publication has been highlighted as a featured article in the Nucleic Acids Research 2011 database issue. Featured Articles highlight the best papers published in NAR.
They represent the top 5% of papers in terms of originality, significance and
| 19 October 2010:The Pancreatic Expression database: 2011 update paper
| 26 August 2010: Pancreatic Expression Data available from the ICGC data portal
Pancreatic Expression Data has been integrated into the ICGC data portal see :
ICGC Data Portal
| 23 June 2010: The Pancreatic Expression Database Version 2.0 available
To broaden the range of users and subsequently increase its functionality, we have substantially changed and improved this resource by expanding the -omics, selections, specimens and annotation data types.
| 08 March 2010: The Pancreatic Expression Database has been updated to Ensembl Release 56
The Pancreatic Expression Database has been updated to include data from Ensembl Release 56. The filtering and attribute options have been updated to include Ensembl 56 options.
| 18 May 2009: A web-based platform for mining pancreatic expression datasets
| 20 July 2008: The Pancreatic Expression Database is available through NCBI EntrezGene
| 28 Nov 2007: Publication of the Pancreatic Expression Database paper
| 2 July 2007: Release of the Pancreatic Expression Database
We are happy to announce the release of the Pancreatic Expression database.
An initial set of the most relevant published pancreatic cancer papers was manually processed, data checked, annotated and results loaded into the database. We are ready to welcome and support pancreatic cancer scientists worldwide to deposit and share their data.
The access to the Pancreatic Expression Database is available through a web-based query interface and
programmatically through web services.
The Pancreatic Expression Database is a DAS server providing a Pancreatic Expression DAS annotation available at Ensembl GeneView at www.ensembl.org.