PED specifications

Information


Unique identifier OMICS_03767
Name PED
Alternative name Pancreatic Expression database
Restrictions to use None
Community driven No
Data access File download, Browse
User data submission Not allowed
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Maintainers


  • person_outline Claude Chelala
  • person_outline PED Team

Publications for Pancreatic Expression database

PED citations

 (2)
library_books

Human cancer databases (Review)

2014
PMCID: 4254674
PMID: 25369839
DOI: 10.3892/or.2014.3579

[…] annotation. Currently, the database contains 911 protein-coding genes and 81 microRNAs deduced from 1,331 abstracts. The user is able to search by Gene or microRNA. Each entry is linked to PubMed.The Pancreatic Expression Database (PED) (), powered by the BioMart software, is a comprehensive resource of pancreatic cancer data from the literature obtained using a range of technologies, including ge […]

library_books

Using BioMart as a framework to manage and query pancreatic cancer data

2011
PMCID: 3114646
PMID: 21666272
DOI: 10.1093/database/bar024

[…] overcome these obstacles to cancer research by using BioMart () to design a generic model for a comprehensive cancer resource. Initially, focusing our efforts on pancreatic cancer, we established the Pancreatic Expression Database (PED) ().PED is a major resource for the integration and mining of pancreatic cancer literature data. With its data content constantly growing, PED contains the largest […]

PED institution(s)
Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London, UK; Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London, UK; Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University London, London, UK; Centre for Computational Biology, Life Sciences Initiative, Queen Mary University London, London, UK
PED funding source(s)
Supported by Pancreatic Cancer Research Fund [Tissue Bank grant]; the Cancer Research UK [Grant A12008]; and the Breast Cancer Campaign [Tissue Bank Bioinformatics grant TB2016BIF].

PED reviews

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