Evidence map›Paper›PMID 29059374›Full record

ArticleNucleic acids research2018

The Pancreatic Expression Database: 2018 update.

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

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jacek MarzecBioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Abu Z Dayem UllahBioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Stefano PirròBioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Emanuela GadaletaBioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Tatjana Crnogorac-JurcevicCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Nicholas R LemoineCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Hemant M KocherCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Claude ChelalaBioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.

Funding

Cancer Research UK 12008
6 · The paper itself

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.

Indexed as

Databases, GeneticGene ExpressionAnimalsDNA Copy Number VariationsHumansMiceMutationPancreasPancreatic Neoplasms

Identifiers

PMID29059374
PMCPMC5753364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.