Evidence map›Paper›PMID 24555116›Full record

ArticleF1000Research2013

JSim, an open-source modeling system for data analysis.

Erik Butterworth, Bartholomew E Jardine, Gary M Raymond, Maxwell L Neal, James B Bassingthwaighte

Abstract read
In one paragraph

Article in F1000Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  13. Equations for OJournal of applied physiology (Bethesda, Md. : 1985) · 2017
    Article
  14. Article
  15. CropsFrontiers in plant science · 2017
    Article
  16. Article
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  19. 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

5 authors.

Erik ButterworthDept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Bartholomew E JardineDept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Gary M RaymondDept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Maxwell L NealDept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.
James B BassingthwaighteDept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.

Funding

3D IMAGING &COMPUTER MODEL OF THE RESPIRATORY TRACTR01HL073598 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI CORLEY, RICHARD A · 2004 to 2014
$17.6M
The Virtual Physiological Rat ProjectP50GM094503 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2011 to 2015
$11.6M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
Software Integration between JSim and Systems Biology WorkbenchR01EB008407 · NIBIB · UNIVERSITY OF WASHINGTON · PI BASSINGTHWAIGHTE, JAMES B, SAURO, HERBERT M. · 2009 to 2012
$1.3M
NHLBI NIH HHS R01 HL073598NHLBI NIH HHS U01 HL122199NIBIB NIH HHS R01 EB008407NIGMS NIH HHS P50 GM094503
6 · The paper itself

Abstract

JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research.   For high throughput applications, JSim can be run as a batch job.  JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.

Identifiers

PMID24555116
PMCPMC3901508

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.