Evidence map›Paper›PMID 23023984›Full record

ArticleBioinformatics (Oxford, England)2012

InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.

Richard N Smith, Jelena Aleksic, Daniela Butano, Adrian Carr, Sergio Contrino, Fengyuan Hu, Mike Lyne, Rachel Lyne, Alex Kalderimis, Kim Rutherford and 5 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 2 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

143 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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  20. Article

83 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

15 authors.

Richard N SmithDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.
Jelena Aleksic
Daniela Butano
Adrian Carr
Sergio Contrino
Fengyuan Hu
Mike Lyne
Rachel Lyne
Alex Kalderimis
Kim Rutherford
Radek Stepan
Julie Sullivan
Matthew Wakeling
Xavier Watkins
Gos Micklem

Funding

InterMOD: integrated data and tools to support model organism researchR01HG004834 · NHGRI · UNIVERSITY OF CAMBRIDGE · PI CHERRY, J. MICHAEL, MICKLEM, GOS · 2009 to 2013
$2.8M
NHGRI NIH HHS R01 HG004834NHGRI NIH HHS R01HG004834Wellcome Trust 067205Wellcome Trust 082598Wellcome Trust 090297
6 · The paper itself

Abstract

summaryInterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. AVAILABILITY: Freely available from http://www.intermine.org under the LGPL license. CONTACT: g.micklem@gen.cam.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Database Management SystemsDatabases, FactualAlgorithmsComputational BiologyData MiningGenomicsInternetProgramming Languages

Identifiers

PMID23023984
PMCPMC3516146

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.