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AutoDiscovery 3.1. One Step Beyond.

Much more data, much more to discover, much more to explore and yes ... faster!

Much more data, much more to discover, much more to explore and yes ... much faster!

Our software engineering and scientific staff have been working hard for months to release our latest version of AutoDiscovery which dramatically improves its reach and performance.

Much more data!

AutoDiscovery now supports the consolidation of up to 50,000 records and 250 measures (variables).

Handling larger datasets implies being much more efficient in the data consolidation, visualization and exportation so these processes have been also boosted with optimized algorithms.

Much more to discover!

Beside correlations (numerical variables) and ANOVAs (qualitative and numerical variables), AutoDiscovery now also performs Contingency Analysis between qualitative variables in order to identify potential cause-effect relationships.

Contingency Analysis (Cramer's V) asseses the potential dependency between two given qualitative variables

And yes... faster!

Not only our engineers were obsessed over providing better tools to handle such amount of information but to do it improving the speed ratio of the previous version.

And they succeeded.

Thanks to a streamlined architectural design and multi-threading algorithms, they finally improved the efficiency in the handling of data, statistical calculation and user experience in general to the point that not only is now AutoDiscovery faster, but also easier and more agile to deal with.

How to update to AutoDiscovery 3.1

1. First things first:

Download the software setup tool

the software setup tool.

2. If you're an already registered user, just login with your current credentials (don't remember your password? clic here!).

If you're a new user, signup with your email address, password and first name. You'll receive a confirmation email to activate your license and get access to the setup tool.

3. Install the software in your computer following the setup wizard.

Collaborative Development

The majority of the improvements described here were the result of excellent ideas combined with a close cooperation with brilliant professional research teams in hospitals and public labs around the country.

In this particular case, we'd specially like to thank Adult Neurogenesis group at CSIC-Instituto Cajal, the GTEAAP group from University of Barcelona, the Tumor Histopatology and Neuropatlogy group at IGTP and the Physiopathology and Molecular Bases in Hematology group at IDIBAPS, for their contributions to this new version of AutoDiscovery.

Thank you guys!

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