Record Details

Molecular and Evolutionary Statistical Data Analysis Package: An Approach toward Investigating DNA Codon Frequency Parameters in Distributed Database

2018 International Conference on Pure and Applied Science

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Title Molecular and Evolutionary Statistical Data Analysis Package: An Approach toward Investigating DNA Codon Frequency Parameters in Distributed Database
 
Creator Miran H. Mohammed; Department of Computer Science, College of Science, University of Sulaimani, Kurdistan Region
Shad A. Mohammed; Department of Biology, College of Science, University of Sulaimani, Kurdistan Region
 
Subject Biology; Computer; Mathematics
Codon; Fasta; GenBank; Gene; Nucleotide
 
Description DNA codon frequency is a parameter that can be used to compare the frequency of particular codons in the genome of living organisms. Certain organisms are biased toward using certain codons to code for certain amino acids. This bias is thought to be due to an evolutionary process that has shaped nearly every organism’s genome. To get around this, one would need to fetch raw DNA data from already available databases such as nucleotide and GenBank. The obtained data will then would be automatically parsed into their corresponding codons and saved in distributed databases. Certain tools would be introduced to the database that allows instant statistical analysis as well as comparative genomic analysis. Thus, users would be able to retrieve codon frequency from the database of any gene of interest that can be found in GenBank and nucleotide databases, as well as analysis of codon frequency/amino acid frequency bias tables. Published 01 August 2018DOI: 10.14500/icpas2018.sct21http://dx.doi.org/10.14500/icpas2018.sct21
 
Publisher Pure and Applied Science
 
Contributor
 
Date 2018-03-27 21:55:46
 
Type Peer-reviewed Paper
 
Format application/pdf
 
Identifier http://conferences.koyauniversity.org/index.php/pas/2018/paper/view/21
 
Source Pure and Applied Science; 2018 International Conference on Pure and Applied Science
 
Language en
 
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