Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

5.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.8K
Genomics02:02

Genomics

42.0K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
42.0K
Complementary DNA01:44

Complementary DNA

32.3K
Overview
32.3K
Complementary DNA01:44

Complementary DNA

7.3K
7.3K
Molecular Models02:00

Molecular Models

45.8K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
45.8K
Genetic Screens02:46

Genetic Screens

5.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2025
Same author

Energy-based bond graph models of glucose transport with SLC transporters.

Biophysical journal·2024
Same author

The simulation experiment description markup language (SED-ML): language specification for level 1 version 5.

Journal of integrative bioinformatics·2024
Same author

Chronic intermittent hypoxia remodels catecholaminergic nerve innervation in mouse atria.

The Journal of physiology·2023
Same author

A novel modular modeling approach for understanding different electromechanics between left and right heart in rat.

Frontiers in physiology·2022
Same author

A method for investigating spatiotemporal growth patterns at cell and tissue levels during C-looping in the embryonic chick heart.

iScience·2022

Related Experiment Video

Updated: Apr 17, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.5K

OpenCOR: a modular and interoperable approach to computational biology.

Alan Garny1, Peter J Hunter1

  • 1Auckland Bioengineering Institute, The University of Auckland Auckland, New Zealand.

Frontiers in Physiology
|February 24, 2015
PubMed
Summary
This summary is machine-generated.

OpenCOR is an open-source modeling environment that facilitates the description and exchange of experimental data and mathematical models using CellML. It offers a modular, plugin-based approach for organizing, editing, simulating, and analyzing CellML models.

Keywords:
CellMLcomputational biologyinteroperabilitymetadatasoftware

More Related Videos

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
14:34

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

215
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.3K

Related Experiment Videos

Last Updated: Apr 17, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.5K
A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
14:34

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

215
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.3K

Area of Science:

  • Computational Biology
  • Biophysics
  • Scientific Modeling

Background:

  • Established standards like CellML aim to simplify the exchange of scientific data and models.
  • Early CellML environments (COR, OpenCell) had limitations, necessitating improved solutions.

Purpose of the Study:

  • Introduce CellML and its historical context.
  • Describe the development, philosophy, and features of the OpenCOR modeling environment.
  • Evaluate the advantages and limitations of OpenCOR for computational biology workflows.

Main Methods:

  • Overview of CellML as an XML-based language for mathematical models.
  • Description of OpenCOR's open-source, modular architecture with plugins.
  • Illustration of OpenCOR's user interface and bundled plugins for editing and simulation.

Main Results:

  • OpenCOR addresses limitations of earlier CellML environments.
  • The software supports organization, editing, simulation, and analysis of CellML models.
  • It is available on multiple operating systems (Windows, Linux, OS X).

Conclusions:

  • OpenCOR provides a flexible and powerful platform for CellML model development.
  • Its plugin-based system enhances usability and extensibility.
  • Further discussion covers OpenCOR's strengths and weaknesses in scientific modeling.