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Инд. авторы: Molorodov Yu.I., Chernenko V.V., Fedotov A.M.
Заглавие: Web-based repository for spatial monitoring viral tick-borne pathogens
Библ. ссылка: Molorodov Yu.I., Chernenko V.V., Fedotov A.M. Web-based repository for spatial monitoring viral tick-borne pathogens // Eurasian Journal of Mathematical and Computer Applications. - 2016. - Vol.4. - Iss. 4. - P.37-43. - ISSN 2306-6172. - EISSN 2308-9822.
Реферат: eng: A study of the genetic diversity of tick-borne encephalitis (TBE) in the samples of individual ticks I. persulcatus and I. pavlovskiy, is one of the urgent problems of modern molecular biology and bioinformatics to come after 2000, “the post-genomic era”. Basically, this is due to the complete sequencing of genomes as part of large-scale international programs. This study suggests combining existing computer resources and databases on molecular biology. An important task of research in this direction was to evaluate the molecular and genetic diversity of bacteria Borrelia spp. Circulating on the territory of Siberia. For further cultivation of the full genome sequencing was carried out two types of Borrelia, selected genetic variants often detected in Western Siberia. Another of the objectives is to determine the molecular genetic diversity of potentially pathogenic microorganisms to humans (tick-borne encephalitis virus, anaplasma, ehrlichia, babesia). On the basis of factual material for the collection of mites in field expeditions on the territory of the Altai, Kazakhstan and Siberia, and the results of whole genome sequencing, developed the architecture and created a pilot version of an interactive information system (IS), intended for the organization of the collection, storage and processing of field work, resettlement and Migration ticks and they carry pathogens. With it built an interactive map displaying locations of field gathering and habitat areas, including sections of publications show the number of ticks and mites population by sex. The possibility of watching the occurrence of infections and genes. Created block analysis of existing da
Ключевые слова: Lyme disease; sequencing; mites; encephalitis; information systems; Interactivity; data integration;
Издано: 2016
Физ. характеристика: с.37-43