Evidence map›Paper›PMID 22276101›Full record

ArticlePloS one2012

Python as a federation tool for GENESIS 3.0.

Hugo Cornelis, Armando L Rodriguez, Allan D Coop, James M Bower

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Reproducibility in Computational Neuroscience Models and Simulations.IEEE transactions on bio-medical engineering · 2016
    Article
  5. Article
  6. Review
  7. Towards real-time communication betweenJournal of computational surgery · 2014
    Article
  8. Article
  9. Article
  10. Reaction-diffusion in the NEURON simulator.Frontiers in neuroinformatics · 2013
    Article
  11. Article
  12. Article
  13. 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

4 authors.

Hugo CornelisCornelis H. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America. Hugo.Cornelis@gmail.com
Armando L Rodriguez
Allan D Coop
James M Bower

Funding

SUPPORT FOR GENESISR01NS049288 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BOWER, JAMES M · 2004 to 2012
$3.1M
NINDS NIH HHS 2R01NS049288-05NINDS NIH HHS 3 R01 NS049288-06S1NINDS NIH HHS 3R01NS049288-06S1NINDS NIH HHS 5R01NS049288-03NINDS NIH HHS 5R01NS049288-04NINDS NIH HHS 5R01NS049288-06NINDS NIH HHS 5R01NS049288-07NINDS NIH HHS R01 NS049288
6 · The paper itself

Abstract

The GENESIS simulation platform was one of the first broad-scale modeling systems in computational biology to encourage modelers to develop and share model features and components. Supported by a large developer community, it participated in innovative simulator technologies such as benchmarking, parallelization, and declarative model specification and was the first neural simulator to define bindings for the Python scripting language. An important feature of the latest version of GENESIS is that it decomposes into self-contained software components complying with the Computational Biology Initiative federated software architecture. This architecture allows separate scripting bindings to be defined for different necessary components of the simulator, e.g., the mathematical solvers and graphical user interface. Python is a scripting language that provides rich sets of freely available open source libraries. With clean dynamic object-oriented designs, they produce highly readable code and are widely employed in specialized areas of software component integration. We employ a simplified wrapper and interface generator to examine an application programming interface and make it available to a given scripting language. This allows independent software components to be 'glued' together and connected to external libraries and applications from user-defined Python or Perl scripts. We illustrate our approach with three examples of Python scripting. (1) Generate and run a simple single-compartment model neuron connected to a stand-alone mathematical solver. (2) Interface a mathematical solver with GENESIS 3.0 to explore a neuron morphology from either an interactive command-line or graphical user interface. (3) Apply scripting bindings to connect the GENESIS 3.0 simulator to external graphical libraries and an open source three dimensional content creation suite that supports visualization of models based on electron microscopy and their conversion to computational models. Employed in this way, the stand-alone software components of the GENESIS 3.0 simulator provide a framework for progressive federated software development in computational neuroscience.

Indexed as

Programming LanguagesComputational BiologySoftware

Identifiers

PMID22276101
PMCPMC3262781

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.