Literature DB >> 10487871

Oligonucleotide frequency matrices addressed to recognizing functional DNA sites.

M P Ponomarenko1, J V Ponomarenko, A S Frolov, O A Podkolodnaya, D G Vorobyev, N A Kolchanov, G C Overton.   

Abstract

MOTIVATION: Recognition of functional sites remains a key event in the course of genomic DNA annotation. It is well known that a number of sites have their own specific oligonucleotide content. This pinpoints the fact that the preference of the site-specific nucleotide combinations at adjacent positions within an analyzed functional site could be informative for this site recognition. Hence, Web-available resources describing the site-specific oligonucleotide content of the functional DNA sites and applying the above approach for site recognition are needed. However, they have been poorly developed up to now.
RESULTS: To describe the specific oligonucleotide content of the functional DNA sites, we introduce the oligonucleotide alphabets, out of which the frequency matrix for a given site could be constructed in addition to a traditional nucleotide frequency matrix. Thus, site recognition accuracy increases. This approach was implemented in the activated MATRIX database accumulating oligonucleotide frequency matrices of the functional DNA sites. We have demonstrated that the false-positive error of the functional site recognition decreases if the oligonucleotide frequency matrixes are added to the nucleotide frequency matrixes commonly used. AVAILABILITY: 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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Year:  1999        PMID: 10487871     DOI: 10.1093/bioinformatics/15.7.631

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  14 in total

1.  SELEX_DB: an activated database on selected randomized DNA/RNA sequences addressed to genomic sequence annotation.

Authors:  J V Ponomarenko; G V Orlova; M P Ponomarenko; S V Lavryushev; A S Frolov; S V Zybova; N A Kolchanov
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  rSNP_Guide, a database system for analysis of transcription factor binding to target sequences: application to SNPs and site-directed mutations.

Authors:  J V Ponomarenko; T I Merkulova; G V Vasiliev; Z B Levashova; G V Orlova; S V Lavryushev; O N Fokin; M P Ponomarenko; A S Frolov; A Sarai
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

3.  SELEX_DB: a database on in vitro selected oligomers adapted for recognizing natural sites and for analyzing both SNPs and site-directed mutagenesis data.

Authors:  Julia V Ponomarenko; Galina V Orlova; Anatoly S Frolov; Mikhail S Gelfand; Mikhail P Ponomarenko
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.

Authors:  Irina V Chadaeva; Mikhail P Ponomarenko; Dmitry A Rasskazov; Ekaterina B Sharypova; Elena V Kashina; Marina Yu Matveeva; Tatjana V Arshinova; Petr M Ponomarenko; Olga V Arkova; Natalia P Bondar; Ludmila K Savinkova; Nikolay A Kolchanov
Journal:  BMC Genomics       Date:  2016-12-28       Impact factor: 3.969

5.  Nucleotides of transcription factor binding sites exert interdependent effects on the binding affinities of transcription factors.

Authors:  Martha L Bulyk; Philip L F Johnson; George M Church
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

6.  Optimized mixed Markov models for motif identification.

Authors:  Weichun Huang; David M Umbach; Uwe Ohler; Leping Li
Journal:  BMC Bioinformatics       Date:  2006-06-02       Impact factor: 3.169

7.  How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter.

Authors:  Mikhail Ponomarenko; Dmitry Rasskazov; Olga Arkova; Petr Ponomarenko; Valentin Suslov; Ludmila Savinkova; Nikolay Kolchanov
Journal:  Biomed Res Int       Date:  2015-10-04       Impact factor: 3.411

8.  Identification and utilization of arbitrary correlations in models of recombination signal sequences.

Authors:  Lindsay G Cowell; Marco Davila; Thomas B Kepler; Garnett Kelsoe
Journal:  Genome Biol       Date:  2002-11-21       Impact factor: 13.583

9.  Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions.

Authors:  Victor G Levitsky; Elena V Ignatieva; Elena A Ananko; Igor I Turnaev; Tatyana I Merkulova; Nikolay A Kolchanov; T C Hodgman
Journal:  BMC Bioinformatics       Date:  2007-12-19       Impact factor: 3.169

10.  Candidate SNP Markers of Gender-Biased Autoimmune Complications of Monogenic Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters.

Authors:  Mikhail P Ponomarenko; Olga Arkova; Dmitry Rasskazov; Petr Ponomarenko; Ludmila Savinkova; Nikolay Kolchanov
Journal:  Front Immunol       Date:  2016-04-04       Impact factor: 7.561

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