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2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
On Discriminating a TATA-box from putative TATA boxes: A Case Study Using Plant Genome
Stanford, California
August 08-August 11
ISBN: 0-7695-2442-7
Raja Loganantharaj, University of Louisiana at Lafayette

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.

Citation:
Raja Loganantharaj, "On Discriminating a TATA-box from putative TATA boxes: A Case Study Using Plant Genome," csbw, pp.201-203, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
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