About STRhub
STRhub is an open-access, interactive platform designed to explore, visualize, and understand Short Tandem Repeat (STR) data across forensic and population genetics contexts.
The project aims to bridge analytical technologies, interpretation frameworks, and educational gaps by integrating STR information derived from both capillary electrophoresis (CE) and next-generation sequencing (NGS). STRhub provides reliable tools, curated datasets, and learning resources that support researchers, students, and laboratories worldwide in navigating the complexity of STR analysis.
Our goal is to foster a global, collaborative environment where knowledge, technology, and transparency come together to strengthen forensic genetics research and education.
STRhub is developed and led by Dr. Tamara Frontanilla and is academically supported by the Laboratory of Forensic Genetics and Population Genetics (LPFG), University of São Paulo (USP), under the supervision of Dr. Celso Teixeira Mendes Junior.
The project is developed by a multidisciplinary team of researchers, bioinformaticians, and forensic scientists, and is shaped by hands-on experience with real STR datasets, laboratory workflows, and interpretative challenges. STRhub is built to reflect the needs of the forensic and population genetics community, emphasizing clarity, methodological rigor, and accessibility.
Genetics is more than data. Behind every STR profile there are people, histories, and populations shaped by migration, diversity, and evolution.
As forensic genetics evolves toward sequencing-based approaches, the gap between traditional CE profiles and sequence-derived STR data continues to grow. STRhub addresses this challenge by connecting technologies, interpretations, and educational perspectives, helping users understand not only what the data show, but how and why those results arise.
By providing open access to tools and datasets, and by emphasizing interpretability and transparency, STRhub contributes to more inclusive, reproducible, and meaningful genetic research.
Have questions, ideas, or suggestions?
Whether you are working on forensic casework, population studies, teaching, or tool development, we'd love to hear from you.
For technical issues or feature requests, please reach out via GitHub. Contributions from the global community are welcome.