Collaborations
Hema.to
Hema.to is a start-up that contributes AI software solutions to improve personalized medicine. With respect to hematologic disorders, hema.to supports diagnostic labs by fine-tuning classification tools to achieve superior performance. For flow cytometry, hema.to established a web service that enables the exchange of anonymized data. By means of knowledge transfer, small labs can benefit from big data
Homepage: https://hema.to
CUBA
The Core Unit for Bioinformatics Data Analysis (CUBA) is our (and could be your) partner in any complex project involving big data sets. The CUBA is hosted at the IGSB and IMBIE and provides bioinformatics and data analysis as a service. It collaborates with research groups and core units to establish new methods and to make them available to all scientists at Uni Bonn.
CUBA is providing a growing number of tools and pipelines for data processing.
Homepage: https://btc.uni-bonn.de/bioinformatics/overview/
GeneTalk
Next-generation sequencing has become a powerful tool in personalized medicine. Exomes or even whole genomes of patients suffering from rare diseases are screened for sequence variants. After filtering out common polymorphisms, the assessment and interpretation of detected personal variants in the clinical context is an often time-consuming effort. GeneTalk is a web-based platform that serves as an expert exchange network for the assessment of personal and potentially disease-relevant sequence variants. GeneTalk assists a clinical geneticist who is searching for information about specific sequence variants and connects this user to other users with expertise for the same sequence variant.
Homepage: http://www.gene-talk.de
AGD
Following the successful publication of GestaltMatcher in Nature Genetics, we transferred the imaging data used for training to the Association for Genome Diagnostics (AGD e.V.), a non-profit organization. AGD will continue advancing the FAIRification of the GestaltMatcher Database (GMDB), ensuring that clinicians and computer scientists can access imaging data to develop next-generation phenotyping (NGP) tools.
Currently, GMDB is utilized at over 1,000 clinical sites across more than 50 countries, helping to capture, structure, and analyze complex human physiological data, ultimately providing actionable genomic insights. The database encompasses an unprecedented depth of phenotypic and genotypic information linked to more than 10,000 diseases, crowdsourced from real-world patient cases by our extensive network of clinician-scientists. This data is made citeable as micro-publications, fostering greater collaboration and accessibility for the global research community.
Homepage: https://www.agdev.de/en/