By Topic

On discriminating a TATA-box from putative TATA boxes: a case study using plant genome

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
R. Loganantharaj ; Bioinformatics Res. Lab., Univ. of Louisiana, Lafayette, LA, USA

Prediction of a promoter is one of the many active areas of bioinformatics. The outcome of a promoter detection algorithm is directly or indirectly influenced by the success of identifying the location of a TATA box in a promoter sequence. A profiling technique is very often used to find putative TATA boxes, but discriminating a TATA box from putative TATA boxes is still a challenging problem. In this work, we formulate the problem and provide solutions using both a linear and a non linear classifiers.

Published in:

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)

Date of Conference:

8-11 Aug. 2005