Cluster analysis and promoter modelling as bioinformatics tools for the identification of target genes from expression array data (Q30640554)

25 June 2017

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title

Cluster analysis and promoter modelling as bioinformatics tools for the identification of target genes from expression array data (English)

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25 June 2017

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Werner T

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25 June 2017

1 February 2001

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25-36

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The DNA sequence of human chromosome 22

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The DNA sequence of human chromosome 21

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Cluster analysis and display of genome-wide expression patterns

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Functional promoter modules can be detected by formal models independent of overall nucleotide sequence similarity.

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Highly specific localization of promoter regions in large genomic sequences by PromoterInspector: a novel context analysis approach

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Identification of regulatory regions which confer muscle-specific gene expression.

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Coordinate positioning of MEF2 and myogenin binding sites

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COMPEL: a database on composite regulatory elements providing combinatorial transcriptional regulation

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MatInd and MatInspector: new fast and versatile tools for detection of consensus matches in nucleotide sequence data

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A novel method to develop highly specific models for regulatory units detects a new LTR in GenBank which contains a functional promoter.

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Identification of the start sites for the 1.9- and 1.4-kb rat transforming growth factor-beta1 transcripts and their effect on translational efficiency.

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Common modular structure of lentivirus LTRs.

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Interaction of stat6 and NF-kappaB: direct association and synergistic activation of interleukin-4-induced transcription

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The promise of comparative genomics in mammals

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Recognition of NFATp/AP-1 composite elements within genes induced upon the activation of immune cells

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Identifiers

DOI

10.1517/14622416.2.1.25

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25 June 2017

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PubMed ID

11258194