BioNumerics version 6.0 released – a boost of new databasing and analysis functions

Sint-Martens-Latem, Belgium, June 22, 2009 – Applied Maths NV today announces the release of the Major Upgrade version 6.0 of its flagship software suite BioNumerics.

Applied Maths proudly announces the release of the next major upgrade of its flagship software BioNumerics. BioNumerics version 6.0 comes with an impressive list of new features, including several fundamental improvements. While the previous major upgrade, version 5, was appreciated for its new interface and numerous interactivity improvements, version 6 brings a boost of new analysis functionality.

With a new object-oriented database design, BioNumerics version 6.0 answers a growing need for structured and centralized multi-user databasing, and offers a comprehensive set of object-based user and security tools, including the creation of users with logins and passwords and user groups defining specific privileges.

BioNumerics version 6.0 allows changes to database objects to be recorded in audit trails. The audit trail coverage can range from logging only to full tracking for any selected set of database objects. Along with each change made to an audited object, all previous versions of the object are automatically stored, including time and user data. Previous versions can be restored by authorized users. In combination with the user and security tools, digital signature tools are also implemented, which renders the software full compliance with FDA 21 CFR Part 11. The audit trail and versioning functionality is provided in a new module.

One of the most innovative realizations in BioNumerics version 6.0 is the new sophisticated cluster analysis window employing patented technology to assess the reliability of clusters obtained with any algorithm. The method enumerates the reliability of dendrograms or networks in function of degeneracies as well as poorly resolved clusters and can calculate consensus trees or networks that impose a minimum reliability threshold on each resolved cluster. This method sheds new light on the problem of cluster significance and the reliability of tree and network inferring algorithms.

Further major improvements are the integrated database security and control tools, rich sequence annotation with a fully-featured sequence editor, the possibility to edit bands directly in comparisons, and for the statistics-oriented users, a new partition mapping application and in-depth ANOVA and MANOVA analysis. For a full list of new features, please visiti the company’s website www.applied-maths.com.

About Applied Maths

Applied Maths, a bioinformatics company, was set up in 1992 and incorporated in 1994. Since then, it has gained global recognition with its software for the analysis of electrophoresis patterns. The company has acquired a unique market position with BioNumerics, a software suite for integrated databasing and the analysis of all kinds of biodata. BioNumerics has developed into a multi-faceted platform combining databasing and analysis technologies, with numerous applications in research and diagnostics, including in bacterial and viral epidemiology and profiling, plant improvement, human genetics and biotechnology.

Applied Maths combines extensive expertise in bioinformatics and unique mathematical know-how to develop the most powerful and fastest algorithms for pattern recognition and matching, data mining, screening and clustering. In so doing, the company fulfils a critical requirement in the bioinformatics industry for obtaining and analysing greater and more complex data sets. The impact of Applied Maths' software is evidenced by referrals in more than 2800 scientific publications and an impressive portfolio of customers in the academic, industrial, clinical and public sectors in more that eighty countries throughout the world. The BioNumerics software platform is used in many prestigious international projects and networks.

Applied Maths has units in Sint-Martens-Latem (Belgium) (head office) and Austin (USA). For further information, please visit the company's website: www.applied-maths.com.