Bioinformatics is an interdisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. It involves the development and application ...

The prize for the best research article of the Workshop on Algorithms in Bioinformatics conference (WABI) was awarded to the research conducted in the Graph Algorithms team led by Associate Professor ...

SYBB 311/411A is a 5-week course that introduces students to the high-throughput technologies used to collect data for bioinformatics research in the fields of genomics, proteomics, and metabolomics.

The rapid evolution of mass spectrometry (MS) has established proteomics as a cornerstone of functional genomics, necessitating sophisticated proteomics data analysis and bioinformatics tools to ...

From early machine learning efforts to identify patterns in large biological datasets to the emergence of advanced bioinformatics tools and software solutions, AI in biomedicine has evolved ...