Genome-wide partial correlation analysis of Escherichia coli microarray data
Genet. mol. res. (Online)
; 6(4): 730-742, 2007. ilus, graf
Article
in English
| LILACS
| ID: lil-520029
Responsible library:
BR26.1
ABSTRACT
Transcriptional control is an essential regulatory mechanism employed by bacteria. Much about transcriptional regulation remains to be discovered, even for the most widely studied bacterium, Escherichia coli. In the present study, we made a genome-wide low-order partial correlation analysis of E. coli microarray data with the purpose of recovering regulatory interactions from transcriptome data. As a result, we produced whole genome transcription factor regulation and co-regulation graphs using the predicted interactions, and we demonstrated how they can be used to investigate regulation and biological function. We concluded that partial correlation analysis can be employed as a method to predict putative regulatory interactions from expression data, as a complementary approach to transcription factor binding site tools and other tools designed to detect co-regulated genes.
Full text:
Available
Collection:
International databases
Health context:
Neglected Diseases
Health problem:
Neglected Diseases
/
Zoonoses
Database:
LILACS
Main subject:
Genome, Bacterial
/
Oligonucleotide Array Sequence Analysis
/
Escherichia coli
Type of study:
Prognostic study
Language:
English
Journal:
Genet. mol. res. (Online)
Journal subject:
Molecular Biology
/
Genetics
Year:
2007
Document type:
Article
/
Congress and conference
Affiliation country:
Brazil
/
Italy
Institution/Affiliation country:
Laboratório Nacional de Computação Científica/BR
/
Parco Tecnologico POLARIS/IT
/
Pontifícia Universidade Católica do Rio de Janeiro/BR