Bioinformatics, IT & Databases

Department

Bioinformatics, formerly designated as a key discipline for analysis of nucleotide sequence data, meanwhile covers a much broader range of databases and tools suitable for analysis and understanding of biological data in general. As a result of massive advances within the omics sector, especially within the field of Next Generation Sequencing, (semi-) automated tools and pipelines are needed to cope with data generation.

Within DSMZ’s bioinformatics department data is generated on site within the DNA and Sequencing Laboratory. Necessary high-performance computing resources for in-depth sequence analyses are powered by Scientific Computing.

The Database development is organized within the DSMZ Digital Diversity Consortium, which encompasses the development of nine scientific databases including the four Global Biodata Core Resources BacDive, BRENDA, LPSN and SILVA. The Data Integration team applys artificial intelligence to unravel hidden relationships within data and fill remaining knowledge gapse.