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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Effect of nucleotide density vector's reduction on molecular identification of organisms
 Kosková, Markéta ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
This work deals with the effect of nucleotide density vector's reduction on molecular identification of organisms. At the beginning of the theoretical part, the work explains the concept of species, its development and its mutations. The next section provides basics of taxonomy, particularly the molecular taxonomy and DNA barcoding, with a description of mitochondrial DNA and its usability in the identification of species. The end of the theoretical part provides information about the nucleotide density vectors which the practical part is focused on. Analysis of auxiliary values on nucleotide density vectors was accomplished in Matlab by evaluating 188 real DNA barcode sequences. The identification analysis of organism was performed with the best auxiliary value for 4 datasets of the reference barcode sequences and 5 datasets of analyzed sequences of same organisms. Afterwards, the evaluation of the analysis was done by using separate nucleotide density vectors of individual nucleotides and their amounts.
Detailed record
Effect of nucleotide density vector's reduction on molecular identification of organisms
 Kosková, Markéta ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
This work deals with the effect of nucleotide density vector's reduction on molecular identification of organisms. At the beginning of the theoretical part, the work explains the concept of species, its development and its mutations. The next section provides basics of taxonomy, particularly the molecular taxonomy and DNA barcoding, with a description of mitochondrial DNA and its usability in the identification of species. The end of the theoretical part provides information about the nucleotide density vectors which the practical part is focused on. Analysis of auxiliary values on nucleotide density vectors was accomplished in Matlab by evaluating 188 real DNA barcode sequences. The identification analysis of organism was performed with the best auxiliary value for 4 datasets of the reference barcode sequences and 5 datasets of analyzed sequences of same organisms. Afterwards, the evaluation of the analysis was done by using separate nucleotide density vectors of individual nucleotides and their amounts.
Detailed record

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