1999
DOI: 10.1093/bioinformatics/15.7.631
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Oligonucleotide frequency matrices addressed to recognizing functional DNA sites.

Abstract: The MATRIX database is available on the Web, http://wwwmgs.bionet.nsc.ru/Dbases/MATRIX/ and the mirror site, http://www.cbil.upenn.edu/mgs/systems/c onsfreq/.

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Cited by 34 publications
(18 citation statements)
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“…Most of them rank unannotated SNPs by their generalized statistical similarity with biomedical SNP markers of human diseases; these Web services evaluate this similarity by superimposing SNPs on gene maps and on data from massively parallel high-throughput sequencing of chromatin immunoprecipitation material (ChIP-Seq) from experiments with complexes of various proteins with genomic DNA. Accuracy of such assessments is constantly increasing due to improvements in empirical formulas for whole-genome evaluation of similarity among pathological manifestations of various SNPs and due to the increasing diversity, completeness, and number of whole-genome maps for various epigenetic states of cells from various tissues and organs in health [150], during infection [151] (or other diseases [152]), or after treatment [153], as we predicted [154] on the basis of the Central Limit Theorem.…”
Section: Resultsmentioning
confidence: 99%
“…Most of them rank unannotated SNPs by their generalized statistical similarity with biomedical SNP markers of human diseases; these Web services evaluate this similarity by superimposing SNPs on gene maps and on data from massively parallel high-throughput sequencing of chromatin immunoprecipitation material (ChIP-Seq) from experiments with complexes of various proteins with genomic DNA. Accuracy of such assessments is constantly increasing due to improvements in empirical formulas for whole-genome evaluation of similarity among pathological manifestations of various SNPs and due to the increasing diversity, completeness, and number of whole-genome maps for various epigenetic states of cells from various tissues and organs in health [150], during infection [151] (or other diseases [152]), or after treatment [153], as we predicted [154] on the basis of the Central Limit Theorem.…”
Section: Resultsmentioning
confidence: 99%
“…A further theoretical analysis of the nucleotide sequences of the allelic states of the region in question was performed using a method developed for averaging nucleotide and dinucleotide frequencies at the positions of the site in question [24]. The original data were 27 DNA fragments experimentally found to contain the transcription factor YY-1 binding site [30].…”
Section: Resultsmentioning
confidence: 99%
“…A method based on the averaging of oligonucleotide frequencies at each position of the functional sites of DNA was used for recognition of these sites [24]. The initial data for the method to start working are a set of N aligned DNA sequences of length L of the site in question { S n =( s n ; i )} i =1, L ; n =1, N .…”
Section: Methodsmentioning
confidence: 99%
“…These tools take into account whole-genome maps of genes [13, 14], protein-binding sites, interchromosomal contacts, nucleosomes, and transcripts either in health [40], during infection [41] (or other disease [42]), or after treatment [43]. According to the Central Limit Theorem, the accuracy of this similarity-based search for candidate SNP markers increases with the increase in the number of genome-wide maps [44]. …”
Section: Introductionmentioning
confidence: 99%