IDEAS home Printed from https://ideas.repec.org/h/spr/ssdmcp/978-3-030-93005-9_5.html

Stochastic Comparison Between the Original SARS-CoV 2 Genetic Structure and SARS-CoV 2 - P.1 Variant

Author

Listed:
  • Jesús E. García

    (University of Campinas, Campinas, Department of Statistics)

  • V. A. González-López

    (University of Campinas, Campinas, Department of Statistics)

  • G. H. Tasca

    (University of Campinas, Campinas, Department of Statistics)

Abstract

This article is intended to explore the behavior of complete genetic sequences of SARS-CoV 2 - P.1 variant, in comparison with the original sequence of SARS-CoV 2, accession number MN908947 (see López and Tasca (4open, 3:13, 2020) and Wu et al. (Nature 579:265–269, 2020)). The sequences are taken in FASTA format, they will be considered as samples of stochastic processes. Based on this interpretation, stochastic tools derived from Partition Markov Models Garc ı́a and González-López (Entropy 19(4):160, 2017) are applied, specifically from the G-model, introduced in Garc ı́a et al. (4open 3:13, 2020) , to obtain the representation of the behavior of each sequence. From these models, it is confirmed that the structure of the P.1 variant of the virus shows similar traits to the original one. Moreover, by means of a BIC-based metric and the G-model, it is possible to determine that the original sequence of SARS-CoV 2 (MN908947) and the set of sequences of SARS-CoV 2 - P.1 variant differ in certain transition probabilities, which allows identifying exactly the state that produces the discrepancy. We also represent this discrepancy graphically.

Suggested Citation

Handle: RePEc:spr:ssdmcp:978-3-030-93005-9_5
DOI: 10.1007/978-3-030-93005-9_5
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssdmcp:978-3-030-93005-9_5. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.