Evidence map›Paper›PMID 26085503›Full record

ArticleBioinformatics (Oxford, England)2015

libRoadRunner: a high performance SBML simulation and analysis library.

Endre T Somogyi, Jean-Marie Bouteiller, James A Glazier, Matthias König, J Kyle Medley, Maciej H Swat, Herbert M Sauro

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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15 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

7 authors.

Endre T SomogyiBiocomplexity Institute and Department of Physics, Indiana University, Bloomington, IN, 47405, USA.
Jean-Marie BouteillerBiomedical Engineering Department, University of Southern California, Los Angeles, CA, 90089, USA.
James A GlazierBiocomplexity Institute and Department of Physics, Indiana University, Bloomington, IN, 47405, USA.
Matthias KönigDepartment of Computational Systems Biochemistry, University Medicine Charité Berlin, 10117, Berlin, Germany and.
J Kyle MedleyDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Maciej H SwatBiocomplexity Institute and Department of Physics, Indiana University, Bloomington, IN, 47405, USA.
Herbert M SauroDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.

Funding

TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
MSM - Multiscale Studies of Segmentation in Vertebrate *R01GM076692 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER, STERN, CLAUDIO D · 2005 to 2015
$5.5M
Development and Improvement of Tissue Simulation ToolkitR01GM077138 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI D'SOUZA, ROSHAN M, GLAZIER, JAMES ALEXANDER · 2007 to 2015
$4.0M
Predictive modeling of bioelectric activity on mammalian multilayered neuronal stU01GM104604 · NIGMS · UNIVERSITY OF UTAH · PI BERGER, THEODORE W., LAZZI, GIANLUCA · 2012 to 2016
$2.8M
Development of a Multiscale Mechanistic Simulation of Acetaminophen Induced LiverU01GM111243 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI DUNN, KENNETH W, GLAZIER, JAMES ALEXANDER · 2014 to 2017
$2.1M
Continued Development and Maintenance of the Systems Biology WorkbenchR01GM081070 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2007 to 2014
$1.7M
NIBIB NIH HHS P41 EB001978NIGMS NIH HHS R01 GM076692NIGMS NIH HHS R01 GM081070NIGMS NIH HHS U01 GM104604NIGMS NIH HHS U01 GM111243
6 · The paper itself

Abstract

motivationThis article presents libRoadRunner, an extensible, high-performance, cross-platform, open-source software library for the simulation and analysis of models expressed using Systems Biology Markup Language (SBML). SBML is the most widely used standard for representing dynamic networks, especially biochemical networks. libRoadRunner is fast enough to support large-scale problems such as tissue models, studies that require large numbers of repeated runs and interactive simulations.

resultslibRoadRunner is a self-contained library, able to run both as a component inside other tools via its C++ and C bindings, and interactively through its Python interface. Its Python Application Programming Interface (API) is similar to the APIs of MATLAB ( WWWMATHWORKSCOM: ) and SciPy ( HTTP//WWWSCIPYORG/: ), making it fast and easy to learn. libRoadRunner uses a custom Just-In-Time (JIT) compiler built on the widely used LLVM JIT compiler framework. It compiles SBML-specified models directly into native machine code for a variety of processors, making it appropriate for solving extremely large models or repeated runs. libRoadRunner is flexible, supporting the bulk of the SBML specification (except for delay and non-linear algebraic equations) including several SBML extensions (composition and distributions). It offers multiple deterministic and stochastic integrators, as well as tools for steady-state analysis, stability analysis and structural analysis of the stoichiometric matrix. AVAILABILITY AND IMPLEMENTATION: libRoadRunner binary distributions are available for Mac OS X, Linux and Windows. The library is licensed under Apache License Version 2.0. libRoadRunner is also available for ARM-based computers such as the Raspberry Pi. http://www.libroadrunner.org provides online documentation, full build instructions, binaries and a git source repository. CONTACTS: hsauro@u.washington.edu or somogyie@indiana.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Computer SimulationModels, TheoreticalSoftwareCell AdhesionHumansLiverModels, BiologicalNeuronsProgramming LanguagesSystems Biology

Identifiers

PMID26085503
PMCPMC4607739

What OpenQuestion holds

Textmetadata
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.