Detail publikace

Clustering of Protein Sequences

BURGETOVÁ, I. ZENDULKA, J.

Originální název

Clustering of Protein Sequences

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Clustering of protein sequences is one of the techniques that can be helpful for predicting secondary structure of protein. Clustering methods are based on expressing similarity or dissimilarity of such sequences. The similarity of two protein sequences can be assessed by the score of the best alignment of the sequences. The paper deals with using formal model theory in describing this important task of bioinformatics. First, a well-known Needleman and Wunsch algorithm for finding the best alignment is introduced. Then a finite automaton that can compute the score for the best alignment is proposed.

Klíčová slova

protein sequence, optimal alignment of two protein sequences, finite automaton, clustering, similarity function

Autoři

BURGETOVÁ, I.; ZENDULKA, J.

Vydáno

27. 4. 2006

Místo

Přerov

ISBN

80-86840-20-4

Kniha

Proceedings of 1st International Workshop WFM'06

Strany od

71

Strany do

78

Strany počet

8

BibTex

@inproceedings{BUT34269,
  author="Ivana {Burgetová} and Jaroslav {Zendulka}",
  title="Clustering of Protein Sequences",
  booktitle="Proceedings of 1st International Workshop WFM'06",
  year="2006",
  pages="71--78",
  address="Přerov",
  isbn="80-86840-20-4"
}