Software – Strong Bacterial Promoters (on-line free access)

Comprehensive list of in silico strong promoters in sequenced bacterial and chloroplast genomes.

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We have developed a new triad-pattern algorithm Strong promoter search, unique in terms of identification of strong promoters in bacterial genomes. This algorithm is useful to study the distribution of strong promoters in bacteria of medical and economic significance.

As a support to DNA array data, it helps understanding how highly transcribed genes in bacteria, including pathogens, react to treatments. This information is important to assess the stress response, to identify the anti-microbial targets, to understand the resistance mechanisms and interactions with human organism. Furthermore, strong promoter candidates may prove useful in protein overexpression in bacteria of biotechnological importance.

Dekthyar M. et al. BMC Bioinformatics 9: 233, doi:10.1186/1471-2105-9-233 (2008)

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