Evidence map›Paper›PMID 27153616›Full record

ArticleBioinformatics (Oxford, England)2016

SBtab: a flexible table format for data exchange in systems biology.

Timo Lubitz, Jens Hahn, Frank T Bergmann, Elad Noor, Edda Klipp, Wolfram Liebermeister

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Pre- and Post-synaptic Mechanisms of Neuronal Inhibition Assessed Through Biochemically Detailed Modeling of GABAThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  4. A Practical Guide to Reproducible Modeling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
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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

6 authors.

Timo LubitzTheoretical Biophysics, Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
Jens HahnTheoretical Biophysics, Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
Frank T BergmannCOS/Bioquant, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany.
Elad NoorInstitute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland.
Edda KlippTheoretical Biophysics, Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
Wolfram LiebermeisterInstitute of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelled: SBtab is a table-based data format for Systems Biology, designed to support automated data integration and model building. It uses the structure of spreadsheets and defines conventions for table structure, controlled vocabularies and semantic annotations. The format comes with predefined table types for experimental data and SBML-compliant model structures and can easily be customized to cover new types of data. AVAILABILITY AND IMPLEMENTATION: SBtab documents can be created and edited with any text editor or spreadsheet tool. The website www.sbtab.net provides online tools for syntax validation and conversion to SBML and HTML, as well as software for using SBtab in MS Excel, MATLAB and R. The stand-alone Python code contains functions for file parsing, validation, conversion to SBML and HTML and an interface to SQLite databases, to be integrated into Systems Biology workflows. A detailed specification of SBtab, including examples and descriptions of table types and available tools, can be found at www.sbtab.net CONTACT: : wolfram.liebermeister@gmail.com.

Indexed as

Databases, FactualModels, BiologicalSystems BiologyModels, TheoreticalSoftware

Identifiers

PMID27153616
PMCPMC4978929

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.