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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F10%3APU87697%21RIV11-GA0-26220___
rdf:type
skos:Concept n22:Vysledek
dcterms:description
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. 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.
dcterms:title
Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method
skos:prefLabel
Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method Relationships Of Bacterial Metallothioneins Analyses: Phylogenetic Tree Construction Method
skos:notation
RIV/00216305:26220/10:PU87697!RIV11-GA0-26220___
n3:aktivita
n5:Z n5:S n5:P
n3:aktivity
P(GA102/07/1473), P(GD102/09/H083), S, Z(MSM0021630513)
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n14:7210655 n14:8088586 n14:4995775
n3:druhVysledku
n16:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
284667
n3:idVysledku
RIV/00216305:26220/10:PU87697
n3:jazykVysledku
n13:eng
n3:klicovaSlova
phylogentic tree, neigbour-joining, BIONJ, Jukes-Cantor, metallothionein
n3:klicoveSlovo
n6:Jukes-Cantor n6:neigbour-joining n6:phylogentic%20tree n6:metallothionein n6:BIONJ
n3:kontrolniKodProRIV
[12EF8BD28AF8]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Analysis of Biomedical Signals and Images
n3:obor
n17:EB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n21:GA102%2F07%2F1473 n21:GD102%2F09%2FH083
n3:rokUplatneniVysledku
n12:2010
n3:tvurceVysledku
Provazník, Ivo Kizek, René Škutková, Helena
n3:typAkce
n19:WRD
n3:zahajeniAkce
2010-06-27+02:00
n3:zamer
n11:MSM0021630513
s:numberOfPages
6
n20:hasPublisher
Vysoké učení technické v Brně
n10:isbn
978-80-214-4106-4
n7:organizacniJednotka
26220