Bioinformatics is the foundation of modern research, translating complex biological data into actionable insights by combining biology, computer science, and data analysis. Selecting the right ...

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 SYBB track in Translational Bioinformatics poises students to work at the interface of applied ‘omics research and clinical medicine. From integrating genomic and functional genomic data into ...

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 amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

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 ...

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 ...