Detail publikace

Similarity Of Cyanobacteria Based On The Comparison Of Whole Protein Coding Information

Originální název

Similarity Of Cyanobacteria Based On The Comparison Of Whole Protein Coding Information

Anglický název

Similarity Of Cyanobacteria Based On The Comparison Of Whole Protein Coding Information

Jazyk

en

Originální abstrakt

We present a method for determination of the similarity among cyanobacteria by comparing coding information in whole genome. This method is based on comparing orthologous genes of the analysed organisms. The number of the orthologous genes can be found by Needleman-Wunsch algorithm. There are two ways how to analyses orthologous genes: first is to rate the significance of diagonal plot, second is to count the number of genes with defined score. We constructed distance tree from number of orthologous genes with score more than 0.8. This distance tree was compared with two distance trees presented in literature.

Anglický abstrakt

We present a method for determination of the similarity among cyanobacteria by comparing coding information in whole genome. This method is based on comparing orthologous genes of the analysed organisms. The number of the orthologous genes can be found by Needleman-Wunsch algorithm. There are two ways how to analyses orthologous genes: first is to rate the significance of diagonal plot, second is to count the number of genes with defined score. We constructed distance tree from number of orthologous genes with score more than 0.8. This distance tree was compared with two distance trees presented in literature.

BibTex


@inproceedings{BUT93138,
  author="Vladimíra {Kubicová} and Ivo {Provazník}",
  title="Similarity Of Cyanobacteria Based On The Comparison Of Whole Protein Coding Information",
  annote="We present a method for determination of the similarity among cyanobacteria by comparing coding information in whole genome. This method is based on comparing orthologous genes of the analysed organisms. The number of the orthologous genes can be found by Needleman-Wunsch algorithm. There are two ways how to analyses orthologous genes: first is to rate the significance of diagonal plot, second is to count the number of genes with defined score. We constructed distance tree from number of orthologous genes with score more than 0.8. This distance tree was compared with two distance trees presented in literature.",
  address="LITERA Brno",
  booktitle="Sborník příspěvků: XII. Pracovní setkání fyzikálních chemiků a elektrotechniků",
  chapter="93138",
  howpublished="print",
  institution="LITERA Brno",
  year="2012",
  month="may",
  pages="116--118",
  publisher="LITERA Brno",
  type="conference paper"
}