Publication detail

Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method

ŠKUTKOVÁ, H. PROVAZNÍK, I. KIZEK, R.

Original Title

Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method

English Title

Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method

Type

conference paper

Language

en

Original Abstract

Phylogenetics is a central discipline in the modern life sciences aimed at describing sequences similarity through evolutionary relationships among organisms. Although it may seem that the graphical representation of phylogenetic connection between organism is a mastered problem, the results always depend on correct choice of method of computation, especially for diverse data as sequences of bacterial metallothioneins. We shown how our used methods and algorithms in a suitable form gives a good results. The coupling a simple Jukes Cantor model with approximation to Poisson distribution for amino acids and BioNJ algorithm witch is more effectively for alignment sequences, we obtained the resulting tree structure forms closed units, which corresponds to their affinity.

English abstract

Phylogenetics is a central discipline in the modern life sciences aimed at describing sequences similarity through evolutionary relationships among organisms. Although it may seem that the graphical representation of phylogenetic connection between organism is a mastered problem, the results always depend on correct choice of method of computation, especially for diverse data as sequences of bacterial metallothioneins. We shown how our used methods and algorithms in a suitable form gives a good results. The coupling a simple Jukes Cantor model with approximation to Poisson distribution for amino acids and BioNJ algorithm witch is more effectively for alignment sequences, we obtained the resulting tree structure forms closed units, which corresponds to their affinity.

Keywords

phylogentic tree, neigbour-joining, BIONJ, Jukes-Cantor, metallothionein

RIV year

2010

Released

30.06.2010

Publisher

VUT v Brně

Location

Brno

ISBN

978-80-214-4106-4

Book

Analysis of Biomedical Signals and Images

Edition number

20

Pages from

1

Pages to

6

Pages count

6

BibTex


@inproceedings{BUT35864,
  author="Helena {Škutková} and Ivo {Provazník} and René {Kizek}",
  title="Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method",
  annote="Phylogenetics is a central discipline in the modern life sciences aimed at describing sequences similarity through evolutionary relationships among organisms. Although it may seem that the graphical representation of phylogenetic connection between organism is a mastered problem, the results always depend on correct choice of method of computation, especially for diverse data as sequences of bacterial metallothioneins. We shown how our used methods and algorithms in a suitable form gives a good results. The coupling a simple Jukes Cantor model with approximation to Poisson distribution for amino acids and BioNJ algorithm witch is more effectively for alignment sequences, we obtained the resulting tree structure forms closed units, which corresponds to their affinity.",
  address="VUT v Brně",
  booktitle="Analysis of Biomedical Signals and Images",
  chapter="35864",
  howpublished="online",
  institution="VUT v Brně",
  journal="Analysis of Biomedical Signals and Images",
  year="2010",
  month="june",
  pages="1--6",
  publisher="VUT v Brně",
  type="conference paper"
}