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Luna De Ferrari from the Computational Systems Biology & Bioinformatics group at the University of Edinburgh has developed TaWeka

a rapid prototyping tool for biological classifiers

TaWeka uses Taverna workflows to store data retrieved from webservices e.g. queries of biological data, into a database. Weka is then used to run machine learning experiments on the data in order to evaluate and improve biological classification functions.

A poster TaWeka: from biological web services to data mining by De Ferrara and Goryanin describes the purpose and implementation of TaWeka.