Harnessing naturally randomized transcription to infer regulatory relationships among genes

L.S. Chen, Frank Emmert-Streib, J.D. Storey

Research output: Contribution to journalArticle

70 Citations (Scopus)

Abstract

We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.
Original languageEnglish
Article numberR219
JournalGenome Biology
Volume8
Issue number10
DOIs
Publication statusPublished - 11 Oct 2007

Fingerprint

Gene Regulatory Networks
transcription (genetics)
gene
Regulator Genes
regulator genes
genotyping
Genes
genes
Yeasts
Genotype
yeasts
yeast
genotype
experiment
methodology

Cite this

Chen, L.S. ; Emmert-Streib, Frank ; Storey, J.D. / Harnessing naturally randomized transcription to infer regulatory relationships among genes. In: Genome Biology. 2007 ; Vol. 8, No. 10.
@article{59cd8c5469a2430da68052757d32f1fb,
title = "Harnessing naturally randomized transcription to infer regulatory relationships among genes",
abstract = "We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.",
author = "L.S. Chen and Frank Emmert-Streib and J.D. Storey",
year = "2007",
month = "10",
day = "11",
doi = "10.1186/gb-2007-8-10-r219",
language = "English",
volume = "8",
journal = "Genome Biology",
issn = "1465-6906",
publisher = "BioMed Central",
number = "10",

}

Harnessing naturally randomized transcription to infer regulatory relationships among genes. / Chen, L.S.; Emmert-Streib, Frank; Storey, J.D.

In: Genome Biology, Vol. 8, No. 10, R219, 11.10.2007.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Harnessing naturally randomized transcription to infer regulatory relationships among genes

AU - Chen, L.S.

AU - Emmert-Streib, Frank

AU - Storey, J.D.

PY - 2007/10/11

Y1 - 2007/10/11

N2 - We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.

AB - We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.

U2 - 10.1186/gb-2007-8-10-r219

DO - 10.1186/gb-2007-8-10-r219

M3 - Article

VL - 8

JO - Genome Biology

JF - Genome Biology

SN - 1465-6906

IS - 10

M1 - R219

ER -