Knowledge Management
Background
In the life science a growing amount of data is produced. Many projects process this data, also on a large scale, and produce remarkable results. What is still missing in some cases is the overall view on the data. Are the data from two projects comparable and generated following the same protocol. What are the biological entities represented by the data?
Research foci
We work in different projects to make data available to the community. This involves to define data formats, implement processing and deployment pipelines. We also work with the methods of the semantic web, in particular ontologies and their usage are often a great benefit for projects to better define entities or facilitate a semantic search.
Cooperation with other research groups, e.g. form the biology ensures that the projects have fulfill an important need of the scientific community and stimulate through the interdisciplinary work.
Current projects
MTB-Reporting
In this project we aim to develop a tool that suggest therapies for tumor patients based on their biomarkers. For more details please see the project page.
iBeetle-Base
iBeetle-Base is a joined project together with the Dept. of Evolutionary Developmental Genetics. Initially this database provides access to the phenotypic annotations gathered by a whole genome RNAi screen in the red flour beetle Tribolium castaneum. Currently iBeetle-Base is funded by the DFG in the project titled "iBeetle-Base: Building an Interconnected, Interactive and Extendable Repository for Phenotypic Data". More…
TFClass
Transcription factors are a key player in gene regulation. Beside of binding sequence, the evolution and relations of transcription factors are important to understand and predict the function of transcription factors. In the transcription factor classification project we build up the classification of transcription factores TFClass based on their DNA binding domain.
MyPathSem
In the MyPathSem project we aim, in a collaboration with other Department of the UMG, to extract the patient specific parts of the molecular networks. For more information please check the project site.
EndoNet
The intercellular signalling is crucial for every multicellular organism. The manual annotated information ressource EndoNet collects information about the participants of this network, i.e. messenger, receptors, cells or tissues, and combines them with stimuli and phenotypes to network.
Publications
Selected publications:
- Dönitz J, Gerischer L, Hahnke S, Pfeiffer S, Bucher G. Expanded and updated data and a query pipeline for iBeetle-Base. Nucleic Acids Res. 2018;46:D831–5.
- Wingender E, Schoeps T, Haubrock M, Krull M, Dönitz J. TFClass: expanding the classification of human transcription factors to their mammalian orthologs. Nucleic Acids Res. 2018;46:D343–7.
- Nemajerova A, Kramer D, Siller SS, Herr C, Shomroni O, Pena T, et al. TAp73 is a central transcriptional regulator of airway multiciliogenesis. Genes Dev. 2016;30:1300–12.
- Ulrich J, Dao VA, Majumdar U, Schmitt-Engel C, Schwirz J, Schultheis D, et al. Large scale RNAi screen in Tribolium reveals novel target genes for pest control and the proteasome as prime target. BMC Genomics. 2015;16. doi:10.1186/s12864-015-1880-y.
- Schmitt-Engel C, Schultheis D, Schwirz J, Ströhlein N, Troelenberg N, Majumdar U, et al. The iBeetle large-scale RNAi screen reveals gene functions for insect development and physiology. Nat Commun. 2015;6:7822.
- Dönitz J, Schmitt-Engel C, Grossmann D, Gerischer L, Tech M, Schoppmeier M, et al. iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum. Nucleic Acids Res. 2015;43:D720–5.
Members of the group
Currently the following people work together to achieve our aims:
- Jürgen Dönitz, subgroup leader
- Jingyu Yang, PhD student in the MTB-Report project
- Kevin Kornrumpf, PhD student in the MTB-Report project
- Tim Tucholski, student assistant for the MTB-Report project
- Canh Nguyen Duc, PhD in the iBeetle project
- Vera Gnass, student assistant for MTB-Report project
Former members of the group (since September 2019)
- Tim Tucholski (bachelor student in the TFClass project)
Title of the thesis "Development of a system for semi-automatic assignment of new sequences to the transcription factor classification TFClass" - Karly Conrads, master student in the iBeetle project
- Charlotte Höltermann, student assistant in the MTB.Report project
- Vanessa Schlotzig, bachelor student in the MTB Report project
- Patrick Groos, bachelor student
- Malte Vosskamp, student assistant for the iBeetle project and MyPathSem (here, the ontology viewer OntoScopeJS)
Bachelor or Master thesis
We offer different topics for Bachelor-, Master- thesis in this field.
If you are interessed, please contact Jürgen Dönitz for details.
contact information
- telephone: +49 551 3914927
- e-mail address: juergen.doenitz(at)bioinf.med.uni-goettingen.de
- location: 2.105
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