Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation

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Standard

Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation. / Jensen, L J; Knudsen, S.

In: Bioinformatics, Vol. 16, No. 4, 2000, p. 326-33.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jensen, LJ & Knudsen, S 2000, 'Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation', Bioinformatics, vol. 16, no. 4, pp. 326-33.

APA

Jensen, L. J., & Knudsen, S. (2000). Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation. Bioinformatics, 16(4), 326-33.

Vancouver

Jensen LJ, Knudsen S. Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation. Bioinformatics. 2000;16(4):326-33.

Author

Jensen, L J ; Knudsen, S. / Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation. In: Bioinformatics. 2000 ; Vol. 16, No. 4. pp. 326-33.

Bibtex

@article{d2baf841cf5244dab0a79c83a54a76b6,
title = "Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation",
abstract = "The whole genomes submitted to GenBank contain valuable information about the function of genes as well as the upstream sequences and whole cell expression provides valuable information on gene regulation. To utilize these large amounts of data for a biological understanding of the regulation of gene expression, new automatic methods for pattern finding are needed.",
author = "Jensen, {L J} and S Knudsen",
year = "2000",
language = "English",
volume = "16",
pages = "326--33",
journal = "Computer Applications in the Biosciences",
issn = "1471-2105",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Automatic discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation

AU - Jensen, L J

AU - Knudsen, S

PY - 2000

Y1 - 2000

N2 - The whole genomes submitted to GenBank contain valuable information about the function of genes as well as the upstream sequences and whole cell expression provides valuable information on gene regulation. To utilize these large amounts of data for a biological understanding of the regulation of gene expression, new automatic methods for pattern finding are needed.

AB - The whole genomes submitted to GenBank contain valuable information about the function of genes as well as the upstream sequences and whole cell expression provides valuable information on gene regulation. To utilize these large amounts of data for a biological understanding of the regulation of gene expression, new automatic methods for pattern finding are needed.

M3 - Journal article

C2 - 10869030

VL - 16

SP - 326

EP - 333

JO - Computer Applications in the Biosciences

JF - Computer Applications in the Biosciences

SN - 1471-2105

IS - 4

ER -

ID: 40749961