2022 Team


Single cell analysis in long-read sequencers will revolutionize the understanding of biology and human disease with a huge impact on diagnostics and treatments. But this application is not possible yet due to the lack of an accurate method for error-prone long-read sequencers.

We developed a robust method to overcome the errors and unlock the true potential of long- read sequencers. With synthetic DNA tags (barcodes) we carefully re-engineered from mathematical elements used in digital communications. We have validated our core technology sequencing 4000 barcodes simultaneously. This is the highest ever number for a long-read sequencer and best of all we achieved high quality results that fall in the range of Illumina sequencing.

Team Lead
Leandro Ciappina

ArgenTAG Bioscience

Lead Mentors
Arthur  Hiller
Francisca Mulero