TY  - CONF
VL  - 2
N2  - 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. © 2008 IEEE.
AV  - none
CY  - Kuala Lumpur
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349157231&doi=10.1109%2fITSIM.2008.4631728&partnerID=40&md5=4af5a7f6d9ba23871428272c5515dcdb
Y1  - 2008///
A1  - Hamdani, H.Y.
A1  - Shukri, S.R.M.
ID  - scholars312
TI  - Gene prediction system
SN  - 9781424423286
N1  - cited By 7; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
KW  - Coding regions; Development tools; Gene predictions; Genetic informations; Genome sequencing; Genomic dnas; Protein sequences; Raw sequences
KW  -  DNA; Forecasting; Genes; Hidden Markov models; Information technology; Information use; Knowledge based systems; Markov processes; Nucleic acids; Organic acids; Programming theory; RNA; Translation (languages)
KW  -  Transcription
ER  -