Evidence map›Paper›PMID 24532766›Full record

ArticleDatabase : the journal of biological databases and curation2014

MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data.

Stephan Pabinger, Rene Snajder, Timo Hardiman, Michaela Willi, Andreas Dander, Zlatko Trajanoski

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Constraint-Based Metabolic Modeling Approach for Microbial Communities.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  9. Notions of similarity for systems biology models.Briefings in bioinformatics · 2018
    Article
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

6 authors.

Stephan PabingerDivision for Bioinformatics, Innsbruck Medical University, 6020 Innsbruck, Austria, Health & Environment Department, AIT-Austrian Institute of Technology, Molecular Diagnostics, 1190 Vienna, Austria, Oncotyrol, Center for Personalized Cancer Medicine, 6020 Innsbruck, Austria and Development Anti-Infectives Microbiology, Sandoz GmbH, 6250 Kundl, Austria.
Rene Snajder
Timo Hardiman
Michaela Willi
Andreas Dander
Zlatko Trajanoski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MEtabolic MOdel research and development System (MEMOSys) is a versatile database for the management, storage and development of genome-scale models (GEMs). Since its initial release, the database has undergone major improvements, and the new version introduces several new features. First, the novel concept of derived models allows users to create model hierarchies that automatically propagate modifications along their order. Second, all stored components can now be easily enhanced with additional annotations that can be directly extracted from a supplied Systems Biology Markup Language (SBML) file. Third, the web application has been substantially revised and now features new query mechanisms, an easy search system for reactions and new link-out services to publicly available databases. Fourth, the updated database now contains 20 publicly available models, which can be easily exported into standardized formats for further analysis. Fifth, MEMOSys 2.0 is now also available as a fully configured virtual image and can be found online at http://www.icbi.at/memosys and http://memoys.i-med.ac.at. Database URL: http://memosys.i-med.ac.at.

Indexed as

Databases, GeneticModels, GeneticSoftwareAnimalsGenomeGenomicsHumansMolecular Sequence AnnotationUser-Computer Interface

Identifiers

PMID24532766
PMCPMC3924767

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.