ArticleDatabase : the journal of biological databases and curation2011
Using BioMart as a framework to manage and query pancreatic cancer data.
Article in Database : the journal of biological databases and curation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma.Scientific reports · 2018Article
- The BioMart community portal: an innovative alternative to large, centralized data repositories.Nucleic acids research · 2015Article
- Human cancer databases (review).Oncology reports · 2015Review
- International Cancer Genome Consortium Data Portal--a one-stop shop for cancer genomics data.Database : the journal of biological databases and curation · 2011Article
- BioMart: driving a paradigm change in biological data management.Database : the journal of biological databases and curation · 2011Article
- BioMart: a data federation framework for large collaborative projects.Database : the journal of biological databases and curation · 2011Article
- BioMart Central Portal: an open database network for the biological community.Database : the journal of biological databases and curation · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
We describe the Pancreatic Expression Database (PED), the first cancer database originally designed based on the BioMart infrastructure. The PED portal brings together multidimensional pancreatic cancer data from the literature including genomic, proteomic, miRNA and gene expression profiles. Based on the BioMart 0.7 framework, the database is easily integrated with other BioMart-compliant resources, such as Ensembl and Reactome, to give access to a wide range of annotations alongside detailed experimental conditions. This article is intended to give an overview of PED, describe its data content and work through examples of how to successfully mine and integrate pancreatic cancer data sets and other BioMart resources.
Indexed as
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What OpenQuestion holds
Registered trials
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.