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Matematicheskaya Biologiya i Bioinformatika, 2016, Volume 11, Issue 2, Pages 336–350
DOI: https://doi.org/10.17537/2016.11.336 (Mi mbb275) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Bioinformatics

Application of the numerical characteristic of formal order analysis of the prokaryotic genomes for reclassification within the genus Rickettsia

S. N. Shpynova, A. S. Gumenyukb, N. N. Pozdnichenkob

a N.F. Gamaleya FRCEM, Gamaleya Str., 18, Moscow, 123098, Russia
b OmSTU, Mira ave., 11, Omsk, 644050, Russia
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DOI: https://doi.org/10.17537/2016.11.336
Abstract: Genomes representing Rickettsiaceae family were analyzed using formal order analysis (FOA) of information chain in order to develop a new approach for the classification of prokaryotes. Average remoteness — the numerical characteristic of order was used to compare the genomes. FOA allows one to directly take into account arrangement of nucleotides in each sequence. The obtained results clarified the previously known classification. In addition Rickettsia felis group was discovered between the ancestral group and spotted fever group (SFG) and R. akari group located between the SFG and genus Orientia. Software used for the analysis of nucleotide sequences with FOA is freely available at http://foarlab.org.
Key words: Rickettsia, classification, taxonomy, genome, formal order analysis, FOA, average remoteness, inter-nucleotide distance.
Received 03.08.2016, Published 05.12.2016
Document Type: Article
UDC: 004.942
Language: Russian
Citation: S. N. Shpynov, A. S. Gumenyuk, N. N. Pozdnichenko, “Application of the numerical characteristic of formal order analysis of the prokaryotic genomes for reclassification within the genus Rickettsia”, Mat. Biolog. Bioinform., 11:2 (2016), 336–350
Citation in format AMSBIB
\Bibitem{ShpGumPoz16}
\by S.~N.~Shpynov, A.~S.~Gumenyuk, N.~N.~Pozdnichenko
\paper Application of the numerical characteristic of formal order analysis of the prokaryotic genomes for reclassification within the genus \emph{Rickettsia}
\jour Mat. Biolog. Bioinform.
\yr 2016
\vol 11
\issue 2
\pages 336--350
\mathnet{http://mi.mathnet.ru/mbb275}
\crossref{https://doi.org/10.17537/2016.11.336}
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