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
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;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
DOI :
10.1109/CSBW.2005.108
