DocumentCode :
3155710
Title :
Development of an analysis tool for mitochondrial DNA haplogrouping
Author :
Oh Sumin ; Jin Hanjun ; Lee Sangbum
Author_Institution :
Nano-Bio Med. Sci., Dankook Univ., Cheonan, South Korea
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
223
Lastpage :
228
Abstract :
Mitochondrial DNA has been used for studying population history and migration route of human populations through haplogroup analyses. Haplogroup is a gathering of same haplotypes, having same genetic mutations. It shows different distribution between each groups and difference of disease sensitivity depending on haplogroup has reported. Accurate haplogrouping is very important to population genetics and disease association studies. By NGS, complete mtDNA genome can be analyzed and can obtain large sequence information from individuals. Thus, a program that analyzes the mass sequence information speedily and determines haplogroup accurately is required. Here we present a mtDNA haplogrouping tool using previous statistical method that depended on enormous database. It uses classification algorithm method that increases the rate of dependence on database. In conclusion, our mtDNA haplogrouping tool can provide a useful solution to have an accurate haplogrouping result from complete mtDNA genome sequences.
Keywords :
DNA; biology computing; diseases; genetics; pattern classification; NGS; classification algorithm method; disease association study; disease sensitivity; genetic mutations; haplogroup analysis; haplotypes; human population; migration route; mitochondrial DNA haplogrouping; mtDNA genome sequence; mtDNA haplogrouping tool; next generation sequencing; population genetics; population history; Bioinformatics; Classification algorithms; DNA; Databases; Sociology; Support vector machines; Classification; Haplogroup; Mitochondrial DNA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location :
Niigata
Type :
conf
DOI :
10.1109/ICIS.2013.6607845
Filename :
6607845
Link To Document :
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