MOTIVATION: Lately the use of 16S-23S Intergenic Transcribed Spacer (ITS) sequences for bacterial typing purposes has increased. The presence of conserved regions like tRNA genes or boxes together with hypervariable regions allows performing intraspecific discrimination of very close bacterial strains. On the other hand this mosaic of variability makes the ITS a sequence difficult to analyze and compare. RESULTS: A software to study ITSs by a Word Count based System (IWoCS) is proposed. A large dataset of ITS was created (comprising 7355 sequences). A database indicating all the occurrences of possible n-mers (tags), describing each ITS sequence, was created (with n going from 5 to 13) including 32 061 819 entries. The database allows to analyze ITS sequences submitted by users using a web-based interface. The abundance in the database of each n-mer is given in a one-base sliding frame. A dominance plot reflects how common the tags are within different taxonomic levels. The obtained profile identifies highly repeated tags as evolutionarily conserved regions (like tRNA or boxes) or low frequency tags as regions specifically associated to taxonomic groups. The study of the dominance and abundance profiles combined with the taxonomy reports provides a novel tool for the use of the ITS in bacteria typing and identification. AVAILABILITY: The database is freely accessible at http://egg.umh.es/iwocs/.

BACKGROUND: The cataloging of marine prokaryotic DNA sequences is a fundamental aspect for bioprospecting and also for the development of evolutionary and speciation models. However, large amount of DNA sequences used to quantify prokaryotic biodiversity requires proper tools for storing, managing and analyzing these data for research purposes. DESCRIPTION: The Micro-Mar database has been created to collect DNA diversity information from marine prokaryotes for biogeographical and ecological analyses. The database currently includes 11874 sequences corresponding to high resolution taxonomic genes (16S rRNA, ITS and 23S rRNA) and many other genes including CDS of marine prokaryotes together with available biogeographical and ecological information. CONCLUSION: The database aims to integrate molecular data and taxonomic affiliation with biogeographical and ecological features that will allow to have a dynamic representation of the marine microbial diversity embedded in a user friendly web interface. It is available online at http://egg.umh.es/micromar/.