Unknown

Dataset Information

Model transcriptional networks with continuously varying expression levels.


ABSTRACT:

Background

At a time when genomes are being sequenced by the hundreds, much attention has shifted from identifying genes and phenotypes to understanding the networks of interactions among genes. We developed a gene network developmental model expanding on previous models of transcription regulatory networks. In our model, each network is described by a matrix representing the interactions between transcription factors, and a vector of continuous values representing the transcription factor expression in an individual.

Results

In this work we used the gene network model to look at the impact of mating as well as insertions and deletions of genes in the evolution of complexity of these networks. We found that the natural process of diploid mating increases the likelihood of ma

SUBMITTER: Carneiro MO 

PROVIDER: S-EPMC3270072 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature