Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Modeling with Differential Equations

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

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

Sort by

Same author

Divergence of Cortical Force-Generating Mechanisms Underlies Differences in Spindle Behavior between <i>C. elegans</i> and <i>C. inopinata</i>.

bioRxiv : the preprint server for biology·2026

Same author

Search, organize, aggregate and share image data with BioFile Finder (BFF).

Nature methods·2026

Same author

Suburban-urban differences in coarse and fine atmospheric particulate matter with key chemical compositions influencing bacterial communities in Toyama and Yokohama, Japan.

Journal of hazardous materials·2025

Same author

The transsulfuration pathway suppresses the embryonic lethal phenotype of glutathione reductase mutants in Caenorhabditis elegans.

G3 (Bethesda, Md.)·2025

Same author

A round table at IUPAB Congress in Kyoto 2024: Dreaming the next 50 years in our biophysics.

Biophysics and physicobiology·2025

Same author

Enabling global image data sharing in the life sciences.

Nature methods·2025

Search research articles

Related Experiment Video

Updated: Apr 20, 2026

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data.

Koji Kyoda¹, Yukako Tohsato¹, Kenneth H L Ho¹

¹Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe 650-0047, Japan and.

Bioinformatics (Oxford, England)

|November 22, 2014

Summary

This summary is machine-generated.

A new Biological Dynamics Markup Language (BDML) offers a unified XML-based format for quantitative biological dynamics data. This format enhances compatibility between software tools for data visualization and analysis.

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Related Experiment Videos

Last Updated: Apr 20, 2026

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Area of Science:

Computational biology
Bioinformatics
Data science

Background:

Live-cell imaging and modeling generate vast quantitative data on biological spatiotemporal dynamics.
Current software tools for data analysis lack interoperability due to diverse data formats.

Purpose of the Study:

To develop a unified data format for quantitative biological dynamics.
To improve compatibility and efficiency of data analysis software.

Main Methods:

Developed Biological Dynamics Markup Language (BDML) based on Extensible Markup Language (XML).
BDML version 0.2 provides a framework for representing data from molecules to organisms.

Main Results:

BDML offers machine and human readability and extensibility.
The format facilitates the development and evaluation of data visualization and analysis tools.

Conclusions:

BDML addresses the need for a standardized format in biological dynamics data analysis.
This initiative aims to enhance the efficiency and interoperability of bioinformatics tools.