GeneTalk – Bioinformatics Software for Precision Medicine

Our Projects

We build software that helps clinicians and researchers diagnose rare genetic disorders more accurately and efficiently.

AI · Facial Phenotyping

GestaltMatcher

An AI-powered platform that uses deep learning to analyze facial features from clinical photographs and match patients to known rare genetic syndromes. Enables phenotype-driven differential diagnosis at scale across thousands of disorders.

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Database · Research

GestaltMatcher Database

A curated, de-identified database of clinical photos and genetic information for rare genetic syndromes. Provides the training foundation for AI phenotyping tools and supports collaborative research across international centers.

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Patient Matching

FindMe2care / RxOME

A platform connecting rare disease patients and clinicians across institutions to identify others with similar conditions, facilitate research collaborations, and accelerate access to clinical trials and emerging therapies.

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Quality · Standards

HGQN

The Human Genome Quality Network provides standardized tools and benchmarks for quality assessment of human genome and exome sequencing data, enabling reproducible and reliable genomic analysis in clinical and research settings.

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Privacy · Healthcare Data

Pseudonymizer

A secure API service for generating and managing cryptographic pseudonyms in clinical research and healthcare applications. Enables GDPR-compliant patient data linkage across study zones using RSA-4096 encryption, without exposing personally identifiable information.

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Variant Analysis

GeneTalk Variant Analyzer

A professional tool for filtering and prioritizing sequence variants from NGS data. Combines population frequencies, inheritance models, expert-curated gene panels, and phenotype-based scores to identify disease-causing variants.

Open Variant Analyzer →

About GeneTalk

2011

The GeneTalk project started in July 2011. Peter Krawitz, human geneticist at Charité Berlin, had the vision of a platform where experts in human genetics from all over the world could exchange research results, discuss open questions, and form cooperations for new projects. Tom Kamphans started working on the technical implementation, and the first version of GeneTalk went online in October 2011.
2012

GeneTalk was funded by a grant from the EU and the German Ministry of Economy and Technology (EXIST), supporting the development of the platform and its underlying algorithms.
2013

Peter and Tom founded GeneTalk GmbH in August 2013, headquartered in Berlin, Germany.
2017

When Peter was offered a chair at the University of Bonn, GeneTalk relocated to the Venusberg Campus in Bonn, where it has been based ever since.
Today

GeneTalk now focuses entirely on bioinformatics software development, building AI tools and data platforms that advance the diagnosis of rare genetic disorders and support precision medicine research worldwide.

Peter Krawitz and Tom Kamphans founding GeneTalk — Peter and Tom founding GeneTalk, Berlin 2011

Team

GeneTalk is led by two researchers with complementary expertise spanning genetics, bioinformatics, and computer science.

Prof. Dr. Peter Krawitz

CEO / CRO

Peter Krawitz studied Medicine and Physics at Ludwig Maximilian University Munich and Technical University Munich. From 2009–2017 he was at the Institute for Medical Genetics and Human Genetics at Charité Berlin, where his research focused on congenital GPI-anchor deficiencies and filtering techniques for next-generation sequencing data. Since 2017 he heads the Institute for Genomic Statistics and Bioinformatics at the University of Bonn. He co-founded GeneTalk to enable everyone to analyze genomes.

Publications peter@gene-talk.de

Dr. Tom Kamphans

CEO / CTO

Tom Kamphans studied Computer Science and Electrical Engineering at the University of Dortmund. After receiving his Ph.D. in Computational Geometry from the University of Bonn, he spent three years as a postdoc at Braunschweig University of Technology. He has published around 50 papers on algorithms, computational geometry, robot motion planning, and optimization, and co-founded GeneTalk to bring his computational expertise to genomics.

Publications tom@gene-talk.de