Synergistic use of promoter prediction algorithms: a choice of small training dataset?

by Oppon, Ekow CruickShank

Abstract (Summary)

Promoter detection, especially in prokaryotes, has always been an uphill task and may remain so, because of the many varieties of sigma factors employed by various organisms in transcription. The situation is made more complex by the fact, that any seemingly unimportant sequence segment may be turned into a promoter sequence by an activator or repressor (if the actual promoter sequence is made unavailable). Nevertheless, a computational approach to promoter detection has to be performed due to number of reasons. The obvious that comes to mind is the long and tedious process involved in elucidating promoters in the ‘

Bibliographical Information:


School:University of the Western Cape/Universiteit van Wes-Kaapland

School Location:South Africa

Source Type:Master's Thesis

Keywords:genetic programming computer science algorithms neural networks promoters genetics


Date of Publication:01/01/2000

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