DocumentCode
2669790
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
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
105
Lastpage
108
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location
Mragowo
Print_ISBN
978-1-4244-5314-6
Type
conf
DOI
10.1109/IMCSIT.2009.5352804
Filename
5352804
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