Research and methods
New approaches to genomic classification, evidence evaluation and interpretation.
Building the foundation for the next era of genomics.
Helena Bioinformatics is a genomics company advancing scientific research and building the methods, infrastructure and software needed to translate complex genomic data into reliable systems.
We work with laboratories, universities and research organisations on research, validation and clinical implementation.
What we do
Infrastructure and software
High-performance genomic systems designed for reliable laboratory workflows.
Partnerships and validation
Collaborative research and real-world validation with laboratories, universities and scientific organisations.
Our product
Folklore is one of Helena's products, built from the company's research, genomic infrastructure and software engineering.
Explore FolkloreLeadership
Vladimir Mitev
Founder & CEO
Vladimir founded Helena Bioinformatics to bring scientific research, engineering and clinical genomics into practical systems for laboratories and partners.
Academician Prof. Draga Toncheva, MD, DSc
Founding Chair, Scientific & Clinical Advisory Board
A pioneer of medical genetics and genomic medicine in Bulgaria, Academician Draga Toncheva brings more than four decades of scientific, clinical and academic experience. As Founding Chair, she advises Helena on scientific direction, clinical validation strategy, evidence boundaries and responsible human oversight.
Clinical validation
Daniela Maneva
Clinical Validation Contributor
Daniela is a molecular geneticist with academic training in molecular biology, genetics, genomics and reproductive biology. She works with genomic and molecular evidence in a laboratory setting. She supported the clinical validation of ACMG classification rules by reviewing classifier outputs against case evidence and documenting rule behaviour that required correction or clarification.
Spasimir Shishinyov
Clinical Validation Contributor
Spasimir is a molecular geneticist with experience in clinical genomics, rare-disease analysis and laboratory genetics. His work has included genomic research, clinical case analysis and the evaluation of molecular evidence. As a Clinical Validation Contributor, he reviewed Folklore's classifier outputs against case evidence and helped identify rules that required correction or clarification.