• 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