DocumentCode :
2735316
Title :
Building phylogenetic trees from binary oligonucleotide fingerprint vectors
Author :
Figueroa, A. ; Liu, Z. ; Mancini-Jones, R. ; Borneman, J. ; Jiang, T.
Author_Institution :
Dept. of Comput. Sci., California Univ., Riverside, CA, USA
Volume :
2
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
2844
Lastpage :
2847
Abstract :
Oligonucleotide fingerprinting of ribosomal RNA genes (OFRG) is a method that permits the identification of microorganisms through ribosomal RNA gene (rDNA) analysis. OFRG sorts arrayed rDNA gene clones into clusters through a series of hybridization experiments, each using a single oligonucleotide probe. This series of hybridization experiments generates a "fingerprint" for each rDNA done. The fingerprints are binary vectors that specify whether the probes hybridized or did not hybridize to the clones. Identification of the microorganisms is accomplished by clustering fingerprints from unidentified clones with those from identified clones. The most accurate taxonomic classifications from rDNA analysis are often obtained through complete nucleotide sequence analysis. However, the direct information that we acquire from OFRG is the presence or absence of a specific substring of nucleotides in the unidentified rDNA sequence. This paper provides several ways to associate information to the set of fingerprints obtained by OFRG.
Keywords :
DNA; biology computing; cellular biophysics; evolution (biological); genetics; microorganisms; molecular biophysics; pattern clustering; trees (mathematics); vectors; arrayed ribosomal DNA gene clones; binary oligonucleotide fingerprint vectors; fingerprints clustering; hybridization; microorganisms identification; nucleotide sequence analysis; phylogenetic trees; ribosomal DNA sequence; ribosomal RNA genes; single oligonucleotide probe; taxonomic classifications; Cloning; DNA; Fingerprint recognition; Hybrid power systems; Information analysis; Microorganisms; Phylogeny; Probes; RNA; Sequences; oligonucleotide fingerprinting; phylogenetic trees;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403811
Filename :
1403811
Link To Document :
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