PHIRE, a deterministic approach to reveal regulatory elements in bacteriophage genomes
Motivation: In silico genome analysis of bacteriophage genomes focuses mainly on gene discovery and functional assignment. The search for regulatory elements contained within these genome sequences is often based on prior knowledge of other genomic elements or on learning algorithms of experimentall...
Saved in:
Published in | Bioinformatics Vol. 20; no. 5; pp. 629 - 635 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Oxford University Press
22.03.2004
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Motivation: In silico genome analysis of bacteriophage genomes focuses mainly on gene discovery and functional assignment. The search for regulatory elements contained within these genome sequences is often based on prior knowledge of other genomic elements or on learning algorithms of experimentally determined data, potentially leading to a biased prediction output. The PHage In silico Regulatory Elements (PHIRE) program is a standalone program in Visual Basic. It performs an algorithmic string-based search on bacteriophage genome sequences to uncover and extract subsequence alignments hinting at regulatory elements contained within these genomes, in a deterministic manner without any prior experimental or predictive knowledge. Results: The PHIRE program was tested on known phage genomes with experimentally verified regulatory elements. PHIRE was able to extract phage regulatory sequences correctly for bacteriophages T7, T3, ϕYeO3-12 and λ, based solely on the genome sequence. For 11 bacteriophages, new predictions of conserved phage-specific putative regulatory elements were made, further corroborating this approach. Availability: http://www.agr.kuleuven.ac.be/logt/PHIRE.htm. Freely available for academic use. Commercial users should contact the corresponding author. |
---|---|
Bibliography: | istex:1DCA416D6C73DE2A5B3F3590A09854C5A9E5C307 ark:/67375/HXZ-NWCQNV89-F local:btg456 Contact: guido.volckaert@agr.kuleuven.ac.be ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1367-4803 1460-2059 1367-4811 |
DOI: | 10.1093/bioinformatics/btg456 |