• DocumentCode
    2528268
  • Title

    Predicting a transcription start site: case study with different genomes

  • Author

    Loganantharaj, Raja

  • Author_Institution
    Bioinformatics Res. Lab, Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    199
  • Lastpage
    200
  • Abstract
    Prediction of a transcription start site (TSS) is one of the many active research areas in bioinformatics. The main purpose of this paper is to study the ability of linear classifiers for predicting a TSS. Also we have focused on the relationship between the length of the subsequences surrounding TSS and their effectiveness.
  • Keywords
    Bayes methods; DNA; biology computing; genetics; molecular biophysics; bioinformatics; genome; linear classifier; subsequence; transcription start site prediction; Accuracy; Bioinformatics; Computer aided software engineering; DNA; Frequency; Genomics; Humans; Mice; Pulse width modulation; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.108
  • Filename
    1540597
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2528268