The IBG-4 develops and works on methods and algorithms, aiming for a fundamental understanding of high-dimensional data and processes in life sciences and bioeconomy. Bioinformatics at Forschungszentrum Jülich play a leading role on national and international level in the areas of plant data management, analysis of novel methods for genome analysis and in the field of integration, interpretation and visualisation of high-dimensional omics data in bioeconomy. IBG-4 focusses on knowledge management, data integration, classical bioinformatics and machine learning, especially for the prediction of phenotypes.
Whole genomes and transcriptomes of various economically relevant plant species are studies by using cutting-edge sequencing technologies, resulting in large amounts of data that have to be processed and analysed. To accomplish this, the group develops algorithms, tools, and implements machine learning to investigate and visualize big data. With these approaches, complex data can be interpreted and subsequently utilised more efficiently. Finally, to facilitate public data access, the group designs and hosts databases with user-friendly interfaces. Combinations of theoretical and experimental research are used to identify and validate novel candidate genes involved in, improved yield and plant robustness against environmental stressors and in plant biosynthetic pathways.
About BioSC
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© BioSC
BioSC-Geschäftsstelle
c/o Forschungszentrum Jülich
52425 Jülich
biosc@fz-juelich.de
