DocumentCode
476764
Title
Gene prediction system
Author
Hamdani, Hazrina Yusof ; Shukri, Siti Rohkmah Mohd
Author_Institution
Universiti Teknologi Petronas, Malaysia
Volume
2
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
1
Lastpage
7
Abstract
With the increasingly popularity of genome sequencing, transforming such raw sequence data into knowledge remains a hard task. This project will develop an application for gene prediction using development tools such as Perl and PHP. The project will identify stretches of sequence for genomic DNA that is biologically functional including protein coding regions. The 3 steps that involve are transcription, splicing and translation. Transcription is the process of copying DNA to RNA. Meanwhile, splicing is a modification of genetic information after a few transcriptions. The process determines introns (useless information) and exons (useful information) in DNA sequence. Hidden Markov Model which is a mathematical functional will be used in this step to predict the DNA sequence. The introns will be removed while the exons will be combined together to produce the mRNA. The final step is the translation which is the process by which mRNA is translated into proteins. The protein sequence is the final output of Gene Prediction System. More knowledge on gene prediction will be explored in order to get better understanding of how gene prediction works.
Keywords
Bioinformatics; Biology computing; DNA; Genetics; Genomics; Hidden Markov models; Organisms; Protein sequence; RNA; Splicing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-2327-9
Electronic_ISBN
978-1-4244-2328-6
Type
conf
DOI
10.1109/ITSIM.2008.4631728
Filename
4631728
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