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INCLUSive: INtegrated Clustering, Upstream of sequence retrieval and motif Sampling

Gert Thijs, Yves Moreau, Frank De Smet, Janick Mathys, Magali Lescot UGent, Stephane Rombauts UGent, Pierre Rouzé, Bart De Moor and Kathleen Marchal UGent (2002) BIOINFORMATICS. 18(2). p.331-332
abstract
INCLUSive allows automatic multistep analysis of microarray data (clustering and motif finding). The clustering algorithm (adaptive quality-based clustering) groups together genes with highly similar expression profiles. The upstream sequences of the genes belonging to a cluster are automatically retrieved from GenBank and can be fed directly into Motif Sampler, a Gibbs sampling algorithm that retrieves statistically over-represented motifs in sets of sequences, in this case upstream regions of co-expressed genes.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
BIOINFORMATICS
Bioinformatics
volume
18
issue
2
pages
331 - 332
Web of Science type
Article
Web of Science id
000174028100018
JCR category
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
JCR impact factor
4.615 (2002)
JCR rank
1/79 (2002)
JCR quartile
1 (2002)
ISSN
1367-4803
DOI
10.1093/bioinformatics/18.2.331
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
154100
handle
http://hdl.handle.net/1854/LU-154100
date created
2004-01-14 13:39:00
date last changed
2016-12-19 15:38:54
@article{154100,
  abstract     = {INCLUSive allows automatic multistep analysis of microarray data (clustering and motif finding). The clustering algorithm (adaptive quality-based clustering) groups together genes with highly similar expression profiles. The upstream sequences of the genes belonging to a cluster are automatically retrieved from GenBank and can be fed directly into Motif Sampler, a Gibbs sampling algorithm that retrieves statistically over-represented motifs in sets of sequences, in this case upstream regions of co-expressed genes.},
  author       = {Thijs, Gert and Moreau, Yves and De Smet, Frank and Mathys, Janick and Lescot, Magali and Rombauts, Stephane and Rouz{\'e}, Pierre and De Moor, Bart and Marchal, Kathleen},
  issn         = {1367-4803},
  journal      = {BIOINFORMATICS},
  language     = {eng},
  number       = {2},
  pages        = {331--332},
  title        = {INCLUSive: INtegrated Clustering, Upstream of sequence retrieval and motif Sampling},
  url          = {http://dx.doi.org/10.1093/bioinformatics/18.2.331},
  volume       = {18},
  year         = {2002},
}

Chicago
Thijs, Gert, Yves Moreau, Frank De Smet, Janick Mathys, Magali Lescot, Stephane Rombauts, Pierre Rouzé, Bart De Moor, and Kathleen Marchal. 2002. “INCLUSive: INtegrated Clustering, Upstream of Sequence Retrieval and Motif Sampling.” Bioinformatics 18 (2): 331–332.
APA
Thijs, G., Moreau, Y., De Smet, F., Mathys, J., Lescot, M., Rombauts, S., Rouzé, P., et al. (2002). INCLUSive: INtegrated Clustering, Upstream of sequence retrieval and motif Sampling. BIOINFORMATICS, 18(2), 331–332.
Vancouver
1.
Thijs G, Moreau Y, De Smet F, Mathys J, Lescot M, Rombauts S, et al. INCLUSive: INtegrated Clustering, Upstream of sequence retrieval and motif Sampling. BIOINFORMATICS. 2002;18(2):331–2.
MLA
Thijs, Gert, Yves Moreau, Frank De Smet, et al. “INCLUSive: INtegrated Clustering, Upstream of Sequence Retrieval and Motif Sampling.” BIOINFORMATICS 18.2 (2002): 331–332. Print.