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.
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
FDNA
Used by 70% of the world’s geneticists across 2,000 clinical sites in
over 130 countries, FDNA’s next-generation phenotyping (NGP)
technologies capture, structure and analyze complex human physiological
data to produce actionable genomic insights. FDNA’s database includes an
unprecedented depth of phenotypic and genotypic information associated
with more than 10,000 diseases, crowdsourced from real-world patient
cases through our broad network of users. This de-identified data is
collected and stored in a private and secure cloud-based clinical
warehouse, and integrated to LIMS, EMR and variant interpretation
systems through a set of open APIs.
Homepage: https://www.fdna.com/