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NGS Wizard is a software based on Genomenal platform developed for processing, annotation and interpretation of human NGS data from various sequencer models. The analysis of genetic data helps the genetic specialist solve the problems in the area of the personalized medicine like predicting an individual predisposition to diseases, make an accurate diagnosis, and choose an effective treatment strategy based on the individual characteristics of the patient. The program allows the professional bioinformaticians and genetic specialists configure the pipelines with multiple fine grain settings, but is also adapted for beginners to quickly launch basic tools with standard configuration.

NGS Wizard

Autobone is a service for the automatic computer modeling of a personalized cranial implant. It is a worldwide trend to focus on personalized implantable medical products. To reduce the time spent on the model design, Autobone uses artificial intelligence methods to build the missing fragments of the skull bones and further assembly of the implant based on the set of the fragments.

Autobone

Protomenal is a service for analyzing functional properties of the proteins, based on neural network predictive models. There are thousands of classes of proteins, where some of them perform an unknown function and are not fully characterized. Prediction of the functional properties of the proteins allows the discovery of new enzymes, materials, viruses, and catalysts. Protomenal allows predicting functional domains by amino acid sequence without knowledge of protein structure and existence of homologues and can serve as an additional instrument to generally accepted tools.

Protomenal

Genokarta is an electronic science encyclopedia about human genetics in Russian language. It contains articles about human genes and genetic polymorphisms, diseases and phenotypes with a known genetic component, as well as glossary of terms and news related to human genetics. It is also has more than 15 million articles about mutations and variations automatically generated based on data from open sources: dbSnp , ClinVar, SNPedia, GWAS. Articles about diseases and phenotypes are written by our experts with consideration of the characteristics of the Russian population and the Russian healthcare system. Genokarta users are doctors, medical geneticists, genetic scientists, students, patients and their relatives. From 2022, anyone can annotate genetic data on the Genokarta .

Genokarta