INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling

Abstract

Abstract Summary: 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. Availability: For academic purposes at http://www.esat.kuleuven.ac.be/~dna/BioI/Software.html Contact: Gert.Thijs@esat.kuleuven.ac.be * To whom correspondence should be addressed. Email: Kathleen.Marchal@esat.kuleuven.ac.be.

Keywords

Cluster analysisSequence motifMotif (music)Computer scienceSampling (signal processing)Sequence (biology)Computational biologyArtificial intelligenceData miningBiologyGeneticsComputer vision

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Publication Info

Year: 2002
Type: article
Volume: 18
Issue: 2
Pages: 331-332
Citations: 85
Access: Closed

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APA Style

                            
                                
                                    Gert Thijs, 
                                
                                    Yves Moreau, 
                                
                                    Frank De Smet
                                
                                et al.
                            
                            (2002). 
                            INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. 
                            Bioinformatics
                            , 18
                            (2)
                            , 331-332.
                            https://doi.org/10.1093/bioinformatics/18.2.331
                        

Identifiers

DOI: 10.1093/bioinformatics/18.2.331