Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities
Some previous studies point to the extension of Chargaff’s second rule (the phenomenon of symmetry) to words of large length. However, in random sequences generated by an independent symbol model where the probability of occurrence of complementary nucleotides is the same, we expect that the phenome...
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2014-12-01
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Series: | Journal of Integrative Bioinformatics |
Online Access: | https://doi.org/10.1515/jib-2014-250 |
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doaj-352e3e46a8064500a51e6f0356095d5f2021-09-06T19:40:31ZengDe GruyterJournal of Integrative Bioinformatics1613-45162014-12-01113485910.1515/jib-2014-250jib-2014-250Exceptional single strand DNA word symmetry: analysis of evolutionary potentialitiesAfreixo Vera0Rodrigues João M. O. S.1Bastos Carlos A. C.2CIDMA – Center for Research and Development in Mathematics and Applications, Department of Mathematics, Aveiro, PortugalIEETA – Institute of Electronics and Telematics Engineering of Aveiro, Aveiro, PortugalIEETA – Institute of Electronics and Telematics Engineering of Aveiro, Aveiro, PortugalSome previous studies point to the extension of Chargaff’s second rule (the phenomenon of symmetry) to words of large length. However, in random sequences generated by an independent symbol model where the probability of occurrence of complementary nucleotides is the same, we expect that the phenomenon of symmetry holds for all word lengths. In this work, we measure the symmetry above that expected in independence contexts (exceptional symmetry), for several organisms: viruses; archaea; bacteria; eukaryotes. We also create 27 control scenarios with the same length of each genome under study. The results for each organism were compared to those obtained in control scenarios. We created a new organism genomic signature consisting of a vector of the measures of exceptional symmetry for words of lengths 1 through 12. We show that the proposed signature is able to capture essential relationships between organisms.https://doi.org/10.1515/jib-2014-250 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Afreixo Vera Rodrigues João M. O. S. Bastos Carlos A. C. |
spellingShingle |
Afreixo Vera Rodrigues João M. O. S. Bastos Carlos A. C. Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities Journal of Integrative Bioinformatics |
author_facet |
Afreixo Vera Rodrigues João M. O. S. Bastos Carlos A. C. |
author_sort |
Afreixo Vera |
title |
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities |
title_short |
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities |
title_full |
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities |
title_fullStr |
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities |
title_full_unstemmed |
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities |
title_sort |
exceptional single strand dna word symmetry: analysis of evolutionary potentialities |
publisher |
De Gruyter |
series |
Journal of Integrative Bioinformatics |
issn |
1613-4516 |
publishDate |
2014-12-01 |
description |
Some previous studies point to the extension of Chargaff’s second rule (the phenomenon of symmetry) to words of large length. However, in random sequences generated by an independent symbol model where the probability of occurrence of complementary nucleotides is the same, we expect that the phenomenon of symmetry holds for all word lengths. In this work, we measure the symmetry above that expected in independence contexts (exceptional symmetry), for several organisms: viruses; archaea; bacteria; eukaryotes. We also create 27 control scenarios with the same length of each genome under study. The results for each organism were compared to those obtained in control scenarios. We created a new organism genomic signature consisting of a vector of the measures of exceptional symmetry for words of lengths 1 through 12. We show that the proposed signature is able to capture essential relationships between organisms. |
url |
https://doi.org/10.1515/jib-2014-250 |
work_keys_str_mv |
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1717768338648596480 |