Farré, Domènec, Bellora, Nicolás, Mularoni, Loris, Messeguer, Xavier, Albà, M Mar Housekeeping genes tend to show reduced upstream sequence conservation. (Article) Genome biology, 8 (7), pp. R140, 2007, ISSN: 1465-6914. (Abstract | Links | BibTeX | Tags: Animals, Base Sequence, Conserved Sequence, CpG Islands, Evolution, Gene Expression, Genetic, Genetic Variation, Humans, Mice, Molecular, Molecular Sequence Data, Promoter Regions) @article{Farre2007,
title = {Housekeeping genes tend to show reduced upstream sequence conservation.},
author = {Farré, Domènec and Bellora, Nicolás and Mularoni, Loris and Messeguer, Xavier and Albà, M Mar},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2323216&tool=pmcentrez&rendertype=abstract},
issn = {1465-6914},
year = {2007},
date = {2007-01-01},
journal = {Genome biology},
volume = {8},
number = {7},
pages = {R140},
abstract = {Understanding the constraints that operate in mammalian gene promoter sequences is of key importance to understand the evolution of gene regulatory networks. The level of promoter conservation varies greatly across orthologous genes, denoting differences in the strength of the evolutionary constraints. Here we test the hypothesis that the number of tissues in which a gene is expressed is related in a significant manner to the extent of promoter sequence conservation.},
keywords = {Animals, Base Sequence, Conserved Sequence, CpG Islands, Evolution, Gene Expression, Genetic, Genetic Variation, Humans, Mice, Molecular, Molecular Sequence Data, Promoter Regions}
}
Understanding the constraints that operate in mammalian gene promoter sequences is of key importance to understand the evolution of gene regulatory networks. The level of promoter conservation varies greatly across orthologous genes, denoting differences in the strength of the evolutionary constraints. Here we test the hypothesis that the number of tissues in which a gene is expressed is related in a significant manner to the extent of promoter sequence conservation.
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Bellora, Nicolás, Farré, Domènec, Mar Albà, M PEAKS: identification of regulatory motifs by their position in DNA sequences. (Article) Bioinformatics (Oxford, England), 23 (2), pp. 243–4, 2007, ISSN: 1367-4811. (Abstract | Links | BibTeX | Tags: Algorithms, Automated, Automated: methods, Base Sequence, Chromosome Mapping, Chromosome Mapping: methods, DNA, DNA: genetics, DNA: methods, Molecular Sequence Data, Nucleic Acid, Nucleic Acid: genetics, Pattern Recognition, Regulatory Sequences, Sequence Alignment, Sequence Alignment: methods, Sequence Analysis, Software, Transcriptional Activation, Transcriptional Activation: genetics) @article{Bellora2007a,
title = {PEAKS: identification of regulatory motifs by their position in DNA sequences.},
author = {Bellora, Nicolás and Farré, Domènec and Mar Albà, M},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17098773},
issn = {1367-4811},
year = {2007},
date = {2007-01-01},
journal = {Bioinformatics (Oxford, England)},
volume = {23},
number = {2},
pages = {243--4},
abstract = {Many DNA functional motifs tend to accumulate or cluster at specific gene locations. These locations can be detected, in a group of gene sequences, as high frequency 'peaks' with respect to a reference position, such as the transcription start site (TSS). We have developed a web tool for the identification of regions containing significant motif peaks. We show, by using different yeast gene datasets, that peak regions are strongly enriched in experimentally-validated motifs and contain potentially important novel motifs. AVAILABILITY: http://genomics.imim.es/peaks},
keywords = {Algorithms, Automated, Automated: methods, Base Sequence, Chromosome Mapping, Chromosome Mapping: methods, DNA, DNA: genetics, DNA: methods, Molecular Sequence Data, Nucleic Acid, Nucleic Acid: genetics, Pattern Recognition, Regulatory Sequences, Sequence Alignment, Sequence Alignment: methods, Sequence Analysis, Software, Transcriptional Activation, Transcriptional Activation: genetics}
}
Many DNA functional motifs tend to accumulate or cluster at specific gene locations. These locations can be detected, in a group of gene sequences, as high frequency 'peaks' with respect to a reference position, such as the transcription start site (TSS). We have developed a web tool for the identification of regions containing significant motif peaks. We show, by using different yeast gene datasets, that peak regions are strongly enriched in experimentally-validated motifs and contain potentially important novel motifs. AVAILABILITY: http://genomics.imim.es/peaks
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