Welcome to the Bioinformatics Group
Scientists have developed high-throughput tools to probe the inner workings of living cells. Technologies that obtain sequence information from DNA, RNA and protein molecules work in conjunction with tools such as X-ray devices, nuclear magnetic resonance machines and cryo-electron microscopy to reveal the three-dimensional conformation of these molecules. More recent technologies — such as next-generation DNA, RNA and protein sequencing along with mass spectrometry — strive to investigate the interactions between the various proteins and genes within a cell. The result of these investigations is the production of huge amounts of data.
The objective of bioinformatics is to store, retrieve, manipulate, visualize, analyze, integrate and interpret data from a variety of data sources so we can fully understand the vast array of processes that occur in living cells, as well as understand Earth’s biodiversity by revealing species, together with their dynamics and interactions.
For human health, understanding the disease pathway is essential to treat the more than 6,000 genetic disorders along with cancers and Alzheimer’s disease and many communicable diseases. Applications of this knowledge include drug design and medical diagnostic procedures. Similarly, understanding the biological processes of other species including microorganisms will provide insights relevant in agriculture, biotechnology and fundamental biology.
News
DeLUCS: Finding the branches on the tree of life
In On the Origin of Species, Charles Darwin described the evolutionary relationships between organisms as branches on a tree, a diagrammatic representation of all species that have ever existed connected by common descent.
The affinities of all the beings of the same class have sometimes been represented by a great tree. I believe this simile largely speaks the truth. The green and budding twigs may represent existing species; and those produced during each former year may represent the long succession of extinct species.
Ming Li and Hieu Tran use machine learning to develop personalized cancer vaccines
Our bodies are made of trillions of cells that form tissues and organs. The genes inside the nucleus of each cell code for proteins that determine a cell’s structure and function, as well as instruct a cell when to grow, divide and die. Normally, our cells follow these instructions, but if a cell’s DNA mutates it can cause the cell to divide and grow out of control. Cancer is fundamentally a disease of uncontrolled cell growth and regulation, and all cancers ultimately are caused by mutations to the genes that regulate cell division, growth and differentiation.
Rapid Novor, cofounded by Cheriton School of Computer Science Professor Bin Ma, secures $5-million USD to decode antibodies for potential treatments for COVID-19 and other illnesses
A world-leading University of Waterloo spinoff company, that decodes blood samples for potential treatments for illnesses like cancer and COVID-19, is expanding operations with the help of a $5-million USD investment.
Bin Ma, a University of Waterloo computer science professor who cofounded Rapid Novor in 2015, says the company’s technology is the most advanced in the world when it comes to deciphering the complex workings of antibody proteins, a process called sequencing.