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Related Experiment Video

Updated: Jun 17, 2026

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Published on: August 6, 2020

VirtualPlant: a software platform to support systems biology research.

Manpreet S Katari¹, Steve D Nowicki, Felipe F Aceituno

¹Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York 10003, USA.

Plant Physiology

|December 17, 2009

Summary

VirtualPlant software aids biologists in analyzing genomic data, overcoming challenges in data integration and interpretation. This platform facilitates hypothesis generation and exploration of plant molecular mechanisms.

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Area of Science:

Genomics
Systems Biology
Bioinformatics

Background:

Genomic research faces bottlenecks in data integration, analysis, and interpretation.
Biologists require tools to derive testable hypotheses from vast genomic datasets.

Purpose of the Study:

To develop the VirtualPlant software platform for visualizing, integrating, and analyzing genomic data.
To enable biologists, including those without computer science training, to mine genomic information.

Main Methods:

VirtualPlant integrates genome-wide data on gene/protein relationships and experimental measurements.
It employs visualization techniques for multivariate data representation.
The platform supports querying gene lists, microarray experiments, and gene networks.

Main Results:

Demonstrated VirtualPlant's utility through three case studies, from gene querying to identifying regulatory networks in seed development.
The software is designed with species-independent data structures, algorithms, and visualization tools.

Conclusions:

VirtualPlant empowers biologists to address complex questions in plant biology, such as molecular mechanisms of growth and development.
The platform facilitates hypothesis generation and discovery from genomic data, applicable across species.