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Characterizing regulatory path motifs in integrated networks using perturbational data

Anagha Madhusudan Joshi UGent, Thomas Van Parys UGent, Yves Van de Peer UGent and Tom Michoel UGent (2010) GENOME BIOLOGY. 11(3).
abstract
We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pathicular searches for 'regulatory path motifs', short paths in the integrated physical networks which occur significantly more often than expected between transcription factors and their targets in the perturbational data. A case study in Saccharomyces cerevisiae identifies eight regulatory path motifs and demonstrates their biological significance.
Please use this url to cite or link to this publication:
author
organization
alternative title
Software : Characterizing regulatory path motifs in integrated networks using perturbational data
year
type
journalArticle (original)
publication status
published
subject
keyword
GENOME, YEAST, GENE-EXPRESSION, TRANSCRIPTIONAL REGULATION, ESCHERICHIA-COLI, CELL-CYCLE, SACCHAROMYCES-CEREVISIAE, COMPLEX, DNA, PHOSPHORYLATION
journal title
GENOME BIOLOGY
Genome Biol.
volume
11
issue
3
article_number
R32
pages
14 pages
Web of Science type
Article
Web of Science id
000277309100018
ISSN
1474-760X
DOI
10.1186/gb-2010-11-3-r32
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
980143
handle
http://hdl.handle.net/1854/LU-980143
date created
2010-06-17 14:44:08
date last changed
2012-09-03 14:21:04
@article{980143,
  abstract     = {We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pathicular searches for 'regulatory path motifs', short paths in the integrated physical networks which occur significantly more often than expected between transcription factors and their targets in the perturbational data. A case study in Saccharomyces cerevisiae identifies eight regulatory path motifs and demonstrates their biological significance.},
  articleno    = {R32},
  author       = {Joshi, Anagha Madhusudan and Van Parys, Thomas and Van de Peer, Yves and Michoel, Tom},
  issn         = {1474-760X},
  journal      = {GENOME BIOLOGY},
  keyword      = {GENOME,YEAST,GENE-EXPRESSION,TRANSCRIPTIONAL REGULATION,ESCHERICHIA-COLI,CELL-CYCLE,SACCHAROMYCES-CEREVISIAE,COMPLEX,DNA,PHOSPHORYLATION},
  language     = {eng},
  number       = {3},
  pages        = {14},
  title        = {Characterizing regulatory path motifs in integrated networks using perturbational data},
  url          = {http://dx.doi.org/10.1186/gb-2010-11-3-r32},
  volume       = {11},
  year         = {2010},
}

Chicago
Joshi, Anagha Madhusudan, Thomas Van Parys, Yves Van de Peer, and Tom Michoel. 2010. “Characterizing Regulatory Path Motifs in Integrated Networks Using Perturbational Data.” Genome Biology 11 (3).
APA
Joshi, A. M., Van Parys, T., Van de Peer, Y., & Michoel, T. (2010). Characterizing regulatory path motifs in integrated networks using perturbational data. GENOME BIOLOGY, 11(3).
Vancouver
1.
Joshi AM, Van Parys T, Van de Peer Y, Michoel T. Characterizing regulatory path motifs in integrated networks using perturbational data. GENOME BIOLOGY. 2010;11(3).
MLA
Joshi, Anagha Madhusudan, Thomas Van Parys, Yves Van de Peer, et al. “Characterizing Regulatory Path Motifs in Integrated Networks Using Perturbational Data.” GENOME BIOLOGY 11.3 (2010): n. pag. Print.