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Victor G Levitsky

Publications and source records attributed to Victor G Levitsky.

3 recordsLinked to original sources

NPRD: Nucleosome Positioning Region Database.

Nucleosome Positioning Region Database (NPRD), which is compiling the available experimental data on locations and characteristics of nucleosome formation sites (NFSs), is the first curated NFS-oriented database. The object of the database is a single NFS described in an individual entry. When annotating results of NFS experimental mapping, we pay special attention to several important functional characteristics, such as the relationship between type of gene activity and nucleosome positioning, the influence of non-histone proteins on nucleosome formation, type of the variant of nucleosome positioning (translational or rotational), indication of tissue types and states of cell activity, description of experimental methods used and accuracy of nucleosome position determination, and the results of applying theoretical and computer methods to the analysis of contextual and conformational DNA properties. At present, the NPRD database contains 438 entries and integrates the data described in 124 original papers. The database URL: http://srs6.bionet.nsc.ru/srs6/. Then click the button 'Databank' and open the link NUCLEOSOME.

Chromosome Mapping↗

RECON: a program for prediction of nucleosome formation potential.

The program RECON has been designed for constructing profiles of nucleosome potential, characterizing the probability of nucleosome formation along DNA sequences. The program used for recognition of nucleosome formation sites in genomic DNA sequences. It was developed using discriminant analysis based on a genetic algorithm method utilizing statistics for dinucleotide location within local regions of nucleosome formation sites. The program RECON is available at http://wwwmgs.bionet.nsc.ru/mgs/programs/recon/.

Algorithms↗

Recognition of eukaryotic promoters using a genetic algorithm based on iterative discriminant analysis.

A new approach to recognizing promoter regions of eukaryotic genes is proposed and illustrated by an example of Drosophila melanogaster. The essence of its novelty is in realizing the genetic algorithm to search for optimal partition of a promoter region into local nonoverlapping fragments and selection of the most significant dinucleotide frequencies for the fragments obtained. The method developed was applied to recognizing TATA-containing (TATA+) and DPE-containing (DPE+) promoters of Drosophila melanogaster genes. The program for promoter recognition is included into the GeneExpress system, section RegScan (http://wwwmgs.bionet.nsc.ru/mgs/programs/proga/).

Algorithms↗