DocumentCode :
724478
Title :
The reduction and classification research on DNA fragment species attributes in meta genome
Author :
Xue Jian ; Liu Fu ; Hou Tao
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4766
Lastpage :
4771
Abstract :
With the rapid development of meta genomics, sequenced meta genome number shot up as well as the DNA sequences expand. But the genera and species of most DNA sequences are unknown, so an important subject bioinformatics faced is how to research an attributes reduction and classification method for those huge meta genome DNA information. In this paper, we process attributes reduction and classification for those meta genome DNA fragments in different genera and the same genera but different species conditions respectively with the help of Rosetta experiment platform, which can get higher experimental resolution accuracy.
Keywords :
bioinformatics; data mining; genomics; molecular biophysics; pattern classification; DNA fragment species attributes; DNA sequences; Rosetta experiment platform; attribute classification; attribute reduction; bioinformatics; metagenomics; Accuracy; Bioinformatics; DNA; Genomics; Microorganisms; Set theory; Training; Attributes Reduction; Meta genome; Rosetta; Species Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162768
Filename :
7162768
Link To Document :
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