Characterizing regulatory path motifs in integrated networks using perturbational data
- Author
- Anagha Madhusudan Joshi (UGent) , Thomas Van Parys (UGent) , Yves Van de Peer (UGent) and Tom Michoel (UGent)
- Organization
- 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.
- Keywords
- GENOME, YEAST, GENE-EXPRESSION, TRANSCRIPTIONAL REGULATION, ESCHERICHIA-COLI, CELL-CYCLE, SACCHAROMYCES-CEREVISIAE, COMPLEX, DNA, PHOSPHORYLATION
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Joshi et al. 2010 GenomeBiol11 R32.pdf
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-980143
- MLA
- Joshi, Anagha Madhusudan, et al. “Characterizing Regulatory Path Motifs in Integrated Networks Using Perturbational Data.” GENOME BIOLOGY, vol. 11, no. 3, 2010, doi:10.1186/gb-2010-11-3-r32.
- 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). https://doi.org/10.1186/gb-2010-11-3-r32
- Chicago author-date
- 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). https://doi.org/10.1186/gb-2010-11-3-r32.
- Chicago author-date (all authors)
- 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). doi:10.1186/gb-2010-11-3-r32.
- 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).
- IEEE
- [1]A. M. Joshi, T. Van Parys, Y. Van de Peer, and T. Michoel, “Characterizing regulatory path motifs in integrated networks using perturbational data,” GENOME BIOLOGY, vol. 11, no. 3, 2010.
@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}},
keywords = {{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}},
}
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