Evidence map›Paper›PMID 19633095›Full record

ArticleBioinformatics (Oxford, England)2009

A System for Information Management in BioMedical Studies--SIMBioMS.

Maria Krestyaninova, Andris Zarins, Juris Viksna, Natalja Kurbatova, Peteris Rucevskis, Sudeshna Guha Neogi, Mike Gostev, Teemu Perheentupa, Juha Knuuttila, Amy Barrett and 6 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

16 authors.

Maria KrestyaninovaEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB101SD, UK. support@simbioms.org
Andris Zarins
Juris Viksna
Natalja Kurbatova
Peteris Rucevskis
Sudeshna Guha Neogi
Mike Gostev
Teemu Perheentupa
Juha Knuuttila
Amy Barrett
Ilkka Lappalainen
Johan Rung
Karlis Podnieks
Ugis Sarkans
Mark I McCarthy
Alvis Brazma

Funding

Medical Research Council G0800681
6 · The paper itself

Abstract

unlabelledSIMBioMS is a web-based open source software system for managing data and information in biomedical studies. It provides a solution for the collection, storage, management and retrieval of information about research subjects and biomedical samples, as well as experimental data obtained using a range of high-throughput technologies, including gene expression, genotyping, proteomics and metabonomics. The system can easily be customized and has proven to be successful in several large-scale multi-site collaborative projects. It is compatible with emerging functional genomics data standards and provides data import and export in accepted standard formats. Protocols for transferring data to durable archives at the European Bioinformatics Institute have been implemented. AVAILABILITY: The source code, documentation and initialization scripts are available at http://simbioms.org.

Indexed as

Database Management SystemsSoftwareComputational BiologyDatabases, FactualInformation ManagementInformation Storage and Retrieval

Identifiers

PMID19633095
PMCPMC2759553

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.