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. 2018 Jan 4;46(D1):D1107-D1110.
doi: 10.1093/nar/gkx955.

The Pancreatic Expression Database: 2018 update

Jacek Marzec  1 , Abu Z Dayem Ullah  1 , Stefano Pirrò  1 , Emanuela Gadaleta  1 , Tatjana Crnogorac-Jurcevic  2 , Nicholas R Lemoine  2 , Hemant M Kocher  3 , Claude Chelala  1   4
Affiliations

The Pancreatic Expression Database: 2018 update

Jacek Marzec et al. Nucleic Acids Res. .

Abstract

The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) continues to be a major resource for mining pancreatic -omics data a decade after its initial release. Here, we present recent updates to PED and describe its evolution into a comprehensive resource for extracting, analysing and integrating publicly available multi-omics datasets. A new analytical module has been implemented to run in parallel with the existing literature mining functions. This analytical module has been created using rich data content derived from pancreas-related specimens available through the major data repositories (GEO, ArrayExpress) and international initiatives (TCGA, GENIE, CCLE). Researchers have access to a host of functions to tailor analyses to meet their needs. Results are presented using interactive graphics that allow the molecular data to be visualized in a user-friendly manner. Furthermore, researchers are provided with the means to superimpose layers of molecular information to gain greater insight into alterations and the relationships between them. The literature-mining module has been improved with a redesigned web appearance, restructured query platforms and updated annotations. These updates to PED are in preparation for its integration with the Pancreatic Cancer Research Fund Tissue Bank (PCRFTB), a vital resource of pancreas cancer tissue for researchers to support and promote cutting-edge research.

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Figures

Figure 1.
Figure 1.
A Schematic overview of the data in the analytical module of PED.
See this image and copyright information in PMC

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