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.


Immunoblot-DB was designed to manage semi-throughput data from quantitative immunoblotting and the used biomaterials. The application also integrates essential parts of the guidelines for reporting the use of gel electrophoresis in proteomics (MIAPE-GE).

Link: www.immunoblot.de

tikalTIKAL is a 4-D image processing platform (TIKAL) for the work with laser scanning and wide field microscopes. TIKAL provides a registration software for correcting global movements and local deformations of cells as well as 2-D and 3-D tracking software.

For further information please read the publication on TIKAL:

  • Bacher, C.P., Reichenzeller, M., Athale, C., Herrmann, H., and Eils, R. (2004). 4-D single particle tracking of synthetic and proteinaceous microspheres reveals preferential movement of nuclear particles along chromatin - poor tracks. BMC Cell Biol 5, 45. [Link] 

If you are interested in an using TIKAL, please contact Jürgen Eils.

Tropical is a software for simulation and parameter estimation of reaction-diffusion models. Based on tiff images as input, Tropical estimates reaction and diffusion coefficients of user-defined differential equation models. Therefore Tropical allows the investigation of systems with inhomogeneous distribution of molecules, making it well suited for quantitative analyses of microscopy experiments such as Fluorescence recovery after photobleaching (FRAP).

Tropical is available for download free of charge for academic use after signing a license agreement. Please contact Jürgen Eils for further information.

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 Jürgen Eils.