Projects
Bioinformatics
The bioinformatics constitutes the link between each work group within PURE. The connections from all generated data in the project from the various sections are not only saved here, they are also knotted into their biological context. The partly complementary approaches are ideal for fitting together the information which results from the different platform technologies, which is a help for receiving a bigger overall picture of the respective disease. The development of algorithms and software is established together with necessary hardware comprehensively and made available. The hereby improved classification of patients using modern methods of bioinformatics and biostatistics enables us to identify the causes of disease which are under scrutiny. This can be done in such an individual manner that personalized medicine reaches a whole new level of quality through the project wide data analysis.
The department for bioinformatics in PURE analyzes the data obtained from the other PURE departments. These analyses are based on the one hand on established computational tools for different types of microscopic, proteomic, transcriptomic or genomic data; on the other hand, novel cross-platform statistical, mathematical and are being developed. New and improved methods and algorithms for the analysis of the multi-spectral image data, are developed and implemented in the group of Prof. Axel Mosig; the group around PD Dr. Martin Eisenacher is focused on the analysis of proteomics data, while aspects of epidemiological statistics are investigated by Prof. Thomas Behrens group.
The constellation of clinicians and experimentalists within PURE creates data analysis challenges that can be solved only up to a certain extent by existing computational approaches. To fully exploit the availability of data from different microscopy and proteomics platforms, it is an inevitable task to develop new algorithms and computational tools that are dedicated to the specific and to date unique constellation of collecting data in PURE. This has led to the development of several cross-platform analysis methods. The long term roadmap for bioinformatics within PURE is to establish specific cross-plattform analysis algorithms for all constellations of microscopy and proteomics that are combined in studies investigated in PURE.
The long term roadmap for bioinformatics within PURE is to establish specific cross-plattform analysis algorithms for all constellations of microscopy and proteomics that are combined in studies investigated in PURE.
In order to facilitate joint storage and analysis of data from different platforms, a substantial amount of data storage and computing power is required. To this end, an IT infrastructure has been established involving more than 120TByte capacity of data storage and high performance computing facilities with more than 1500 CPU cores.