Title :
Improved (Non)fixed TSS methods for promoter prediction
Author :
Rymczak, Konrad ; Unold, Olgierd
Author_Institution :
Inst. of Comput. Eng., Control & Robot., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
Recognizing bacterial promoters is an important step towards understanding gene regulation. In this paper, we address the problem of predicting the location of promoters and their transcription start sites (TSSs) in Escherichia coli. Our approaches to TSS prediction are based upon fixed and none fixed TSS algorithms. Introduced improvements significantly bumped up the efficiency of the algorithms.
Keywords :
biology computing; microorganisms; Escherichia coli; bacterial promoters; gene regulation; molecular biology; promoter prediction; transcription start sites; Biochemistry; Bioinformatics; Computer science; DNA; Databases; Genomics; Polymers; Proteins; RNA; Sequences;
Conference_Titel :
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location :
Mragowo
Print_ISBN :
978-1-4244-5314-6
DOI :
10.1109/IMCSIT.2009.5352804
