Publication detail

Constructing Phylogenetic Trees Based on Intra-Group Analysis of Human Mitochondrial DNA

VOGEL, I. ZEDEK, F. OČENÁŠEK, P.

Original Title

Constructing Phylogenetic Trees Based on Intra-Group Analysis of Human Mitochondrial DNA

English Title

Constructing Phylogenetic Trees Based on Intra-Group Analysis of Human Mitochondrial DNA

Type

conference paper

Language

en

Original Abstract

This paper describes a modified algorithm for inferring phylogenetic trees based on distance techniques. The input of the algorithm consists of predefined clusters of data. It uses a usual agglomerative approach, however it involves a novel technique for distance matrix creation as the task of clustering predefined groups of human mitochondrial DNA sequences should be fulfilled.

English abstract

This paper describes a modified algorithm for inferring phylogenetic trees based on distance techniques. The input of the algorithm consists of predefined clusters of data. It uses a usual agglomerative approach, however it involves a novel technique for distance matrix creation as the task of clustering predefined groups of human mitochondrial DNA sequences should be fulfilled.

Keywords

intra-group analysis, substitution model, position-specific clustering vector, mtDNA, population divergence, phylogenetic tree, neighbor joining

RIV year

2011

Released

19.07.2011

Publisher

Springer Verlag

Location

Berlin Heidelberg

ISBN

978-3-642-21792-0

Book

Human Interface and the Management of Information. Interacting with Information

Edition

Lecture Notes in Computer Science

Edition number

NEUVEDEN

Pages from

165

Pages to

169

Pages count

5

BibTex


@inproceedings{BUT76261,
  author="Ivan {Vogel} and František {Zedek} and Pavel {Očenášek}",
  title="Constructing Phylogenetic Trees Based on Intra-Group Analysis of Human Mitochondrial DNA",
  annote="This paper describes a modified algorithm for inferring phylogenetic trees based
on distance techniques. The input of the algorithm consists of predefined
clusters of data. It uses a usual agglomerative approach, however it involves
a novel technique for distance matrix creation as the task of clustering
predefined groups of human mitochondrial DNA sequences should be fulfilled.",
  address="Springer Verlag",
  booktitle="Human Interface and the Management of Information. Interacting with Information",
  chapter="76261",
  doi="10.1007/978-3-642-21793-7_20",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  number="1",
  year="2011",
  month="july",
  pages="165--169",
  publisher="Springer Verlag",
  type="conference paper"
}