̽��ϵ��

Research summary

As the volume of genomic sequencing data grows, efficient analysis is essential to quickly identify genetic variants that can guide personalized treatments and improve patient outcomes. Dr. Ibrahim Numanagic, Canada Research Chair in Computational Biology and Data Science, is responding to this need by investigating algorithmic and data science methods that can quickly and accurately extract information from sequencing data in complex regions of the human genome.

Specifically, he and his research team are genotyping clinically important regions that regulate certain immune responses. They are also exploring domain-specific solutions for developing high-performance biomedical pipelines that can enable the secure, scalable processing of biomedical data. Ultimately, their work will support local and international research centres and boost Canadian health care and research capabilities.