An integrated approach for statistical genome sequence analysis between genetic datasets
([Fakultas Teknik UI, King Saud University. Department of Computer Science], 2010)
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Genome Sequence Analysis for genetic datasets by using ORF (Open Reading Frames) techniques is an interesting area of research for bioinformatics researchers nowadays. There is a strong research focus on comparative analysisbetween genetic behaviors and diversity of different species. Contrary to whole genome sequence analysis, scientists are now trying toconcentrate specifically on layered analysis to get a better insight ofrelevancy among geneticdatasets. This phenomenon will help to better understand species. An ORF statistical analysisfor genetic data-sets of species Chimera Monstrosa and Poly Odontidae is presented. Forcompletion of this analysis, we use a hybrid approach that combines a generic mechanism forstatistical analysis with specific approach designed for out performance. At first instance,genetic datasets are refined forbetter usage at next level. These sets are then passed throughlayers of filters that perform DNA to Proteintranslation. Statistical comparison is performedduring this translation. This layered architecture helps in betterunderstanding of the degree ofsimilarity and differences in genomic sequences. |
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Penerbitan : | [Place of publication not identified]: [Fakultas Teknik UI, King Saud University. Department of Computer Science], 2010 |
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Majalah/Jurnal : | International Journal of Technology |
Volume : | Vol. 1, No.1, Juli 2010: 1-10 |
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Akses Elektronik : | http://www.ijtech.eng.ui.ac.id/File/Volume%201%20Issue%201%20Page%201-10.pdf |
Institusi Pemilik : | Universitas Indonesia |
Lokasi : | Fakultas Teknik UI |
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