Welcome to the eilslabs

The eilslabs form a joint research group between the division "Theoretical Bioinformatics" at the German Cancer Research Center (dkfz) and the department Bioinformatics and Functional Genomics at the Institute of Pharmacy and Molecular Biotechnology (IPMB) at Heidelberg University. The group is headed by Prof. Roland Eils.

 


The mine-it platform offers a general framework for the systematic processing of data and is especially valuable for high throughput data mining tasks.

A fundamental concept of the main data structure, the "intelligent table" , is the notion of underlying data types that model the data entites and their behavior. The data types support among other things conversions, defaults, imputations and determine the mathematical functionality of the data like distance measures, ordering, basic math operations. The set of data types is extensible, making it easy to develop custom data types suiting special needs (e.g. time series, composite data types).

Driven by the data type objects, the tabular data structure itself provides much functionality, like basic statistics, histograms, automatic data type detection, or missing value imputation.

The current focus in the development of mine-it is to include Web-services Grid-Servicesfunctionality - this will vastly increase the applicability of mine-it to large scale data-analysis tasks.

Mine-it is also available as a stand-alone version: If you are interested in an evaluation of this tool, please contact J├╝rgen Eils.