SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:liu-145810"
 

Search: onr:"swepub:oai:DiVA.org:liu-145810" > Predicting pathogen...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Bartoszek, KrzysztofLinköpings universitet,Statistik och maskininlärning,Filosofiska fakulteten,Uppsala Univ, Sweden (author)

Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018-01-31
  • PUBLIC LIBRARY SCIENCE,2018
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-145810
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145810URI
  • https://doi.org/10.1371/journal.pcbi.1005931DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-341023URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Funding Agencies|IMB PAS as part of the statutory research; Knut and Alice Wallenberg Foundation
  • The Binary State Speciation and Extinction (BiSSE) model is a branching process based model that allows the diversification rates to be controlled by a binary trait. We develop a general approach, based on the BiSSE model, for predicting pathogenicity in bacterial populations from microsatellites profiling data. A comprehensive approach for predicting pathogenicity in E. coli populations is proposed using the state-dependent branching process model combined with microsatellites TRS-PCR profiling. Additionally, we have evaluated the possibility of using the BiSSE model for estimating parameters from genetic data. We analyzed a real dataset (from 251 E. coli strains) and confirmed previous biological observations demonstrating a prevalence of some virulence traits in specific bacterial sub-groups. The method may be used to predict pathogenicity of other bacterial taxa.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Majchrzak, MartaPolish Acad Sci, Poland (author)
  • Sakowski, SebastianUniv Lodz, Poland (author)
  • Kubiak-Szeligowska, Anna B.Polish Acad Sci, Poland (author)
  • Kaj, Ingemar,1957-Uppsala universitet,Analys och sannolikhetsteori,Analysis and Probability,Uppsala Univ, Sweden(Swepub:uu)ingekaj (author)
  • Parniewski, PawelPolish Acad Sci, Poland (author)
  • Linköpings universitetStatistik och maskininlärning (creator_code:org_t)

Related titles

  • In:PloS Computational Biology: PUBLIC LIBRARY SCIENCE14:11553-734X1553-7358

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view