The security and management facilities in CLC bio's Bioinformatics Database can potentially help organisations stop misuse or loss of data, as well as help protect their intellectual property rights
CLC Bioinformatics Database enables research organisations, from small university departments and clinical labs to large biotech and pharmaceutical companies, to maximise their potential, through increased productivity.
An increase in productivity will help increase the number of drug candidates, by empowering scientists to do more with their research.
In turn this gives companies a more efficient use of R+D budgets.
Darrol Baker, sales manager at CLC bio, states:"CLC Bioinformatics Database raises the bar for what can be expected from a database.
"Our development team has focused on eliminating classic obstacles such as different operating systems, limited support for database formats, or limited access to a central storage facility.
"For organisations already having an existing relational database in use for sharing DNA, RNA, and protein sequence data, the CLC Bioinformatics Database interface can be customised to store and retrieve data directly from that database.
The result is a solution that enables all users of CLC bio's software to work directly on - and fully integrated with - the organization's existing database.
This ensures the same data sharing, data searching and data security characteristics as if the database had been a stand alone database - except for the fact that the CLC bio data is now fully integrated with all other sequence data in the organization.
The design, API-customisation, implementation, and data migration can be carried out by the customer or by CLC bio's consultants.
CLC Bioinformatics Database is cross-platform, running on Mac OS X, Windows, and Linux.
Additionally, this will enable users across various workgroups to work on data in a central, shared, and secure relational database.
CLC Bioinformatics Database integrates and runs smoothly with several types of databases, including Oracle, PostgreSQL, and MySQL.
