DocumentCode :
260650
Title :
BioSecure-cloud ancestry detector: Persuading species analysis and ancestral detector based on solitary score
Author :
Prasath, T. ; Rubadevi, B.
Author_Institution :
Dept. of Comput. Sci. & Eng., Arunai Eng. Coll., Thiruvannamalai, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Bioinformatics is generally mean to technically prove that the information is analyzed to detect the species identification and other organizing of the biological data. Here in this paper new methods are deployed to cloud environment to specifically resolve the issues of species identification and animal ancestral details. The given samples of DNA fed to the application so as to find the which ancestry details matches to related to the biological information and provides the proper specification details. This finally provides the range of matching sequence to detect the species which it belongs to. This such tool is used to store and retrieve the sample DNA sequence for analyzing the breeding schemes to provide the easier form of application suites for the researchers of species analysis and physicians so as to provide the way that they can easily facilitate with the guidelines. The security enrichment is done via the monitoring service with basic level protection mechanism is enveloped.
Keywords :
DNA; bioinformatics; cloud computing; pattern matching; BioSecure-cloud ancestry detector; DNA sequence; ancestral detector; animal ancestral details; biological data; biological information; cloud environment; sequence matching; solitary score; species analysis; species identification; Animals; Bioinformatics; Cloud computing; DNA; Databases; Educational institutions; Servers; Bioinfomatics; Cloud Storage; DNA Analysis; PCR; Pedigree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7033750
Filename :
7033750
Link To Document :
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