DocumentCode :
599172
Title :
DNA sequence analysis by ORF FINDER & GENOMATIX tool: Bioinformatics analysis of some tree species of Leguminosae family
Author :
Patel, Surabhi ; Panchal, H. ; Anjaria, K.
Author_Institution :
G.H. Patel Post Grad. Dept. of Comput. Sci. & Technol., Sardar Patel Univ., Vallabh Vidyanagar, India
fYear :
2012
fDate :
4-7 Oct. 2012
Firstpage :
922
Lastpage :
926
Abstract :
Bioinformatics is rapidly growing field of applied science, here we have done DNA sequence analyses of few legume tree species by bioinformatics tools. In this paper bioinformatics data of some leguminous trees have been explored and brought to one platform. Various analytical bioinformatics tools were used to generate the information for particular species or group of species. DNA sequence analyses have been done by ORF FINDER & GENOMATIX. The results were discussed in context with all available data generated through above methods for leguminous trees. We have done analysis of 23 legume species of Leguminosae family, and it is further classified in three subfamily, 1. Fabaceae (Papilionaceae) 2. Caesalpiniaceae 3. Mimosaeae and made a database which contains all legume species results, but here we have taken only two legume species in two tools to demonstrate our work. We have used DNA sequence from EMBL database.
Keywords :
bioinformatics; data analysis; database management systems; pattern classification; Caesalpiniaceae legume subfamily; DNA sequence analysis; EMBL database; Fabaceae legume subfamily; GENOMATIX tool; Leguminosae family; Mimosaeae legume subfamily; ORF FINDER tool; bioinformatics analysis; bioinformatics tool; data classification; Bioinformatics; DNA; Databases; Educational institutions; Genomics; Proteins; Vegetation; EMBL- The European Molecular Biology Laboratory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2746-6
Electronic_ISBN :
978-1-4673-2744-2
Type :
conf
DOI :
10.1109/BIBMW.2012.6470265
Filename :
6470265
Link To Document :
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