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

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

9.3K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
9.3K
C4 Pathway and CAM01:27

C4 Pathway and CAM

49.3K
Most plants use the C3 pathway for carbon fixation. However, some plants, such as sugar cane, corn, and cacti that grow in hot conditions, use alternative pathways to fix carbon and conserve energy loss due to photorespiration. Photorespiration is the process that occurs when the oxygen concentration is high. Under such conditions, the rubisco enzyme in the Calvin cycle binds O2 instead of CO2, which halts photosynthesis and consumes energy.
C4 Pathway
The C4 pathway is used by plants such as...
49.3K
Multiple Allele Traits01:49

Multiple Allele Traits

38.2K
The Concept of Multiple Allelism
38.2K
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

941
The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
941
Multiple Regression01:25

Multiple Regression

4.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
Auditory Pathway01:15

Auditory Pathway

7.4K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Comparative Transcriptomic Profile Reveals Candidate Genes Manipulated by Type III Effectors of <i>Pantoea agglomerans</i> pv. <i>betae</i> Leading to Gall Formation in Beet.

Phytopathology·2025
Same author

Oligosaccharyltransferase Is Involved in Targeting to ER-Associated Degradation.

Cells·2025
Same author

Exercise-induced molecular modulation following mTBI: A multi-omics study in male mice.

Experimental neurology·2025
Same author

The role of the striatin family proteins in hippo signaling and cellular regulation.

Cell & bioscience·2025
Same author

A heterodimer of hemoglobin identifies theranostic targets on brain-metastasizing melanoma cells.

International journal of cancer·2025
Same author

Myeloma mesenchymal stem cells' bioenergetics afford a novel selective therapeutic target.

Oncogenesis·2025
Same journal

Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model.

F1000Research·2026
Same journal

Emotional intelligence: An important skill to learn now more than ever.

F1000Research·2026
Same journal

East Mediterranean Lineage of <i>Brucella melitensis</i> in Human Isolates and Milk Samples in Oman Using MLVA-14.

F1000Research·2026
Same journal

Application of K-Means Clustering for Job Applicant Analysis in Construction Firms Using R.

F1000Research·2026
Same journal

The influence of self-esteem and emotional intelligence on addiction to social networks in Peruvian university students.

F1000Research·2026
Same journal

A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research.

F1000Research·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.9K

Simulation and visualization of multiple KEGG pathways using BioNSi.

Adva Yeheskel1, Adam Reiter2, Metsada Pasmanik-Chor1

  • 1Bioinformatics unit, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel.

F1000Research
|June 30, 2018
PubMed
Summary
This summary is machine-generated.

This study enhances a network simulation tool (BioNSi) to import biological pathways from KEGG, enabling pathway-level analysis and simulation of experimental data for novel biological insights.

Keywords:
BioNSiCytoscapeKEGGbiological networkgene expressionsimulation

More Related Videos

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.3K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.9K

Related Experiment Videos

Last Updated: Feb 8, 2026

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.9K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.3K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.9K

Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Manual network construction hinders biologist's use of simulation tools.
  • Need for tools that import biological pathways for analysis and insight generation.

Purpose of the Study:

  • To extend the BioNSi network simulation tool.
  • To enable merging of KEGG pathways into a single network.
  • To facilitate analysis of biological pathways and experimental data.

Main Methods:

  • Extended BioNSi to merge multiple KEGG pathways.
  • Integrated visualization of network properties.
  • Enabled loading of experimental expression data for dynamic simulations.
  • Tested with inflammatory bowel disease and breast cancer data.

Main Results:

  • Successfully merged KEGG pathways into coherent networks.
  • Simulated network dynamics using experimental data.
  • Predicted key observations from published studies.
  • Provided novel insights into disease mechanisms.

Conclusions:

  • The enhanced BioNSi tool simplifies pathway analysis.
  • Facilitates the generation of new biological insights from pathway data.
  • Applicable to various biological conditions and experimental datasets.