Mesa Analytics & Computing, Inc. provides consulting and creates custom data mining solutions and software for companies with problems in knowledge discovery, dynamic web applications for simulation software companies, and compound acquisition decisions and drug design for pharmaceutical and biotech companies.
Mesa Analytics has a Molecular Shape Fingerprinter using quasi-Monte Carlo Integration. Please contact us if you would like an evaluation license.
The animation above shows the intersection of a CPK molecular model (overlapping atom spheres) with a set of 65,000 quasi-random points. The molecular model and the quasi-random points are rotating about separate axes. As points move inside the molecular volume they turn purple. As they move outside the volume they turn semi-transparent white.
When you turn to Mesa Analytics & Computing, you receive the full benefit of our expertise. We work with you to design custom solutions in knowledge discovery and data mining, expertise in high performance computing and software, and custom dynamic web application systems.
Expertise in mining data, includes:
We employ state-of-the-art tools and techniques in areas such as:
If your company falls into one of the above categories or has a problem similar to those given above, please contact us.
Mesa Analytics has extensive experience in web application development. We have developed dynamic web applications using Ajax techniques to support cheminformatics learning; cheminformatics workflows for drug discovery; analysis of pandemic mitigation simulations; asset life-cycle cost analysis for the power utility industry; and video-centric collaborative scientific research.
Our web applications use a variety of frameworks, including Django, CherryPy, and ASP.NET; client-side toolkits such as jQuery, jQuery UI and Flex 3 and DBMS systems including PostgreSQL, MySQL, MS SQL Server and SQLite.
Our web applications typically provide custom, interactive data visualizations. We have used jMol and ChemAxon’s Marvin tools to present 3D chemical structure information. We have developed our own custom 2D depictions using both HTML5 Canvas and ActionScript. For statistical summary visualizations we often use Gnu R, running in background processes which are managed by our web servers. Finally, we have built custom, interactive 2D scatterplots using both Processing and ActionScript.
In 2009 Mesa Analytics created an interactive H1N1 pandemic timeline, which let users explore the spread of H1N1 over time.
In 2009 Mesa Analytics also created a prototype web application to help choose sites suitable for solar power installations.
For customers who require capabilities not found in our commercial data mining tools, Mesa Analytics develops custom data mining software.
The tools in the grouping module can use dissimilarity matrices generated via non-binary measures and descriptors. They can be used with other applications which produce binary data or real valued data.
For example, presently, an academic user is using the asymmetric clustering tools for analysis of Financial Service Industry data. (See: Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM, Anita Prinzie and Dirk Van den Poel, April, 2005. Available online at Decision Support Systems.)
"If in your science you only look for business, then you risk finding neither knowledge nor business."
— Haldor Topsøe