Integrated, Cross-Checked,
High-Quality Data from Genostar

all of Genostar's data options

come with the Genostar software you need

to visualize or analyze their contents

Genostar's platform combines highly integrated data and software directly useful for microbial research. 

MicroB database

Genostar's MicroB database is constructed of perfectly integrated and rigorously cross-checked genomic, proteic, biochemical and metabolic data approximately 950 bacterial and archaeal organisms.  High quality integration, absence of redundancy and facility of use with the full range of our software improve the accuracy of your results and save your research teams valuable time. 

MicroB is compatible with all our software and offers you one of the largest, highest quality integrated databases available today.

We update and enlarge the database continuously to meet the needs of scientists in many areas of microbial research. The database is created by rigorously interconnecting data from different sources:

Continuous evolution

MicroB is designed so that you can easily add and integrate your own, proprietary genomes to your MicroB database.

Download list of micro-organisms

List of Archaea

 List of Bacteria

Customized MicroB databases

Genostar can create customized MicroB databases of up to 100 micro-organisms of your choice from the list of available micro-organisms. As such you purchase only the data that is oriented to your research needs.

Acknowledgements
Genostar designed MicroB in collaboration with the French National Institute for Research in Computer Science and Control (INRIA), the Swiss Institute of Bioinformatics (SIB), and the Laboratory of Alpine Ecology (LECA).

BacDat datasets - expert, calculated results

Genostar's BacDat datasets are customized, ready-to-explore datasets of 1-4 organisms. A BacDat dataset is created from the results of a specific analysis and includes all the data from MicroB on your selected bacteria - plus additional, expert, in-house calculations such as:

• calculation of homology relationships between replicons of multiple organisms to identify common or specific nucleotide regions
• identification of CDSs specific to each bacterium
• identification of enzymes by predicting / confirming corresponding EC numbers on CDSs products
• identification and visualization of the metabolic pathways in which specific enzymes catalyze reactions

BacDat datasets are organized to maximize the ease of your data exploration.