Evidence map›Paper›PMID 21930507›Full record

ArticleDatabase : the journal of biological databases and curation2011

BioMart Central Portal: an open database network for the biological community.

Jonathan M Guberman, J Ai, O Arnaiz, Joachim Baran, Andrew Blake, Richard Baldock, Claude Chelala, David Croft, Anthony Cros, Rosalind J Cutts and 51 more

Abstract read
In one paragraph

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 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
–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

103 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Integrating Genomic Information with Tumor-Immune Microenvironment in Triple-Negative Breast Cancer.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

43 more citing papers are in PubMed but not listed here.

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

61 authors.

Jonathan M GubermanOntario Institute for Cancer Research, Toronto, M5G 0A3, Canada.
J Ai
O Arnaiz
Joachim Baran
Andrew Blake
Richard Baldock
Claude Chelala
David Croft
Anthony Cros
Rosalind J Cutts
A Di Génova
Simon Forbes
T Fujisawa
E Gadaleta
D M Goodstein
Gunes Gundem
Bernard Haggarty
Syed Haider
Matthew Hall
Todd Harris
Robin Haw
S Hu
Simon Hubbard
Jack Hsu
Vivek Iyer
Philip Jones
Toshiaki Katayama
R Kinsella
Lei Kong
Daniel Lawson
Yong Liang
Nuria Lopez-Bigas
J Luo
Michael Lush
Jeremy Mason
Francois Moreews
Nelson Ndegwa
Darren Oakley
Christian Perez-Llamas
Michael Primig
Elena Rivkin
S Rosanoff
Rebecca Shepherd
Reinhard Simon
B Skarnes
Damian Smedley
Linda Sperling
William Spooner
Peter Stevenson
Kevin Stone
J Teague
Jun Wang
Jianxin Wang
Brett Whitty
D T Wong
Marie Wong-Erasmus
L Yao
Ken Youens-Clark
Christina Yung
Junjun Zhang
Arek Kasprzyk

Funding

Cancer Research UK 12008Medical Research Council MC_U127527203Wellcome Trust 095908
6 · The paper itself

Abstract

BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities.

Indexed as

Biomedical ResearchDatabase Management SystemsDatabases, FactualInternetAnimalsBacteriaFungiGenomeHumansInternational CooperationUser-Computer InterfaceViruses

Identifiers

PMID21930507
PMCPMC3263598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.