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PMID: 11847086 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

INCLUSive: integrated clustering, upstream sequence retrieval and motif sampling.

Bioinformatics (Oxford, England) ·Vol. 18 ·No. 2 ·2002-02-00 ·Pages 331-2

Thijs G, Moreau Y, De Smet F, Mathys J, Lescot M, Rombauts S, Rouze P, De Moor B, Marchal K

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.

MeSH Terms
Algorithms Cluster Analysis Computational Biology Databases, Genetic Gene Expression Profiling/statistics & numerical data Multigene Family Oligonucleotide Array Sequence Analysis/statistics & numerical data Software
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Thijs Gert
ESAT_ SISTA/COSIC, KULeuven, Kasteelpark Arenberg 10, 3001 Leuven-Heverlee, Belgium. Gert.Thijs@esat.kuleuven.ac.be
Moreau Yves
De Smet Frank
Mathys Janick
Lescot Magali
Rombauts Stephane
Rouze Pierre
De Moor Bart
Marchal Kathleen
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2002-02-00
Pages
331-2
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
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