Data Management
Modern high-throughput technologies such as microarray, mass spectrometry and the recent next-generation sequencing generate a huge amount of experimental data, and it becomes challenging to manage and integrate these data for further analysis.
At the FRISYS Core Facility Data Management, we manage and support bioinformatics software to fulfill the “omics” data management and integration requirements of FRISYS groups working with various model organisms. These software are dedicated to transcriptomics and proteomics data processing, analysis and visualization. The experimental data are processed in a standardized and integrated manner. All the processing steps along with the experimental data are stored in a central server. The Core Facility not only supports the users using existing software by e-mail helpdesk and regular on-site user trainings, but also provides customized data analysis solutions to address specific needs of users. In the context of systems biology the Core Facility Data Management serves as a bridging step between raw experimental data and mathematical modeling.
The main software tools we use are:
- Genedata Expressionist
- R/Bioconductor
We are especially interested in bioinformatics topics such as next-generation sequencing data analysis e.g. RNA-Seq and ChIP-Seq and integrative ‘omics’ data analysis e.g. the integration of transcriptomics and quantitative proteomics data. Collaborations are welcome.
