ITLrp was established in 2015 in memory of Ms India Taylor’s fight against spinal muscular atrophy with progressive myoclonic epilepsy, a rare lipid neurodegenerative disorder. Developed with the generous support of private donations to the India Taylor Donation fund, the uOttawa Brain and Mind Institute, Partners Investing in Parkinson’s Research, and Canadian Foundation Innovation grants, the research platform is open for both research collaborative investigations and fee for service. The platform is directed by Dr Steffany Bennett and managed by Mr Andrew Macklin.
Contact Dr Steffany Bennett for further details:
Close association of lipidome and metabolome with phenotype, combined with an increasing availability of highly advanced analytical methods for their high throughput measurement offers major power for linking these molecular measures with biological systems behaviour in health and disease. Complexity of this data requires utilization of appropriate computational tools as it defies manual exploration. COMPLIMET.CA provides collection of solutions that were specifically created for metabolomics and lipidomics data and are here presented through user friendly Web applications. Currently included are solutions ranging from data preprocessing, data analysis and mining as well as simulations with new applications added regularly. The objective of COMPLIMET.CA is to provide both computational and experimental biologists with appropriate methods for gathering knowledge from lipidomics and metabolomics measurements and data. Our aim is to grow COMPLIMET.CA into a reliable and comprehensive framework for bioinformatics and computational biology in metabolomics and lipidomics.
Then add Bayesian Annotations for Targeted Lipidomics (BATL) is a Gaussian naïve Bayes classifier that annotates the identity of lipid species in MRM and SRM datasets. BATL is a useful tool for accurate, targeted lipid identification and, with online access, is easily integrated into any targeted lipidomic pipeline. BATL is assembled online.
STEDCore was the first super-resolution Stimulated Emission Depletion Continuous Wave (STED CW) research platform established in Canada, updated through partnership with Leica Canada to include a gated STED (gSTED) system. The platform was developed by Dr. Steffany Bennett (Scientific Officer) and made possible by the generous support of the Canadian Foundation Innovation. STEDcore is part of uOttawa's Cell Biology and Image Analysis (CBIA) Facilities and is operated within CBIA as a collaborative research platform available to all researchers. Users image with Dr Chloë van Oostende-Triplet (Facility Manager) who provides researchers with imaging expertise, calibrates and maintains all of STEDCore's equipment, and develops new super-resolution analysis protocols.