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Related Experiment Video

Updated: Jul 6, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

An informatics approach to systems neurogenetics.

Glenn D Rosen¹, Elissa J Chesler, Kenneth F Manly

¹Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)

|March 28, 2008

Summary

Complex trait analysis and systems genetics are explained, highlighting GeneNetwork (GN) for exploring gene networks. GN aids in understanding how gene variants and molecules influence complex traits like behavior and disease susceptibility.

Related Experiment Videos

Last Updated: Jul 6, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Area of Science:

Genetics
Bioinformatics
Systems Biology

Background:

Complex traits are influenced by multiple genetic and environmental factors.
Understanding gene networks is crucial for dissecting trait heritability and disease susceptibility.

Purpose of the Study:

To outline the theory of complex trait analysis and systems genetics.
To introduce GeneNetwork (GN) as a web-accessible resource for exploratory analysis and hypothesis testing in systems genetics.

Main Methods:

Description of theoretical frameworks for complex trait analysis.
Utilizing the GeneNetwork (GN) bioinformatics suite for data analysis.
Application of statistical tools for gene expression and locus mapping.

Main Results:

GeneNetwork (GN) provides an integrated platform for analyzing gene networks.
Users can investigate gene expression across tissues and map quantitative trait loci (QTLs).
The system facilitates the exploration of genetic covariance among complex traits.

Conclusions:

GeneNetwork (GN) enables the assessment of complex gene network interactions.
A systems genetics approach, facilitated by GN, is valuable for trait analysis.
Web-accessible resources like GN democratize complex trait research.