Profiling genomic data with monogenic and polygenic risk assessment at once
TW23 analysis detects and annotates genetic variants for monogenic and polygenic disease risk assessment to support clinical decision.
TW23 analysis offers an streamlined NGS analysis and intuitive variant browsing interface with an interactive design and custom filtering settings.
Our workflows classify variants according to the American College of Medical Genetics and Genomics (ACMG) guidelines and integrate over 80 public genomic databases.
TW23 team applies AI-based natural language processing (NLP) technology to mine over 32 million PubMed publications for prioritization and real-world evidence.