(2024) Pharmacogenomics Data Analysis: Toronto, ON
Date: 17 - 18 October 2024
This course explores the evolving field of personalized cancer treatment, focusing on tailoring treatment strategies to patients based on their unique molecular profiles. Participants will gain a comprehensive understanding of the field of pharmacogenomics and a guided workflow covering basic to advanced biomarker analysis. Our primary emphasis is on the analysis of cancer biomarkers; however, the principles and methodologies covered in this context are transferable and applicable to other disease areas. The course is designed to provide sufficient context to beginners, building up from basics to tools and methods of data analysis. The hands-on practical tutorials for each session will provide the participants with practical insights into the data as well as tools to perform biomarker analysis on their own. By the end of this introductory course, participants will be equipped with the knowledge and skills to understand data requirements and perform biomarker analysis.
City: Toronto
Region: Ontario
Country: Canada
Prerequisites:
Participants should be comfortable writing and reading basic R. You will require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 4GB RAM, 20GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). This workshop requires participants to complete pre-workshop tasks and readings which includes installing and setting up an R environment.
Learning objectives:
Participants will gain practical experience and skills to be able to: Extract features for biomarker discovery from -omics data (RNA-Seq, methylation, mutations, proteomics, chromatin profiling, etc) Navigate pharmacogenomics datasets and data preparation for pharmacogenomic analysis Identify univariable biomarkers from RNA-Seq data Perform meta-analysis to identify robust biomarkers Visualize and summarize the output of pharmacogenomic biomarker analysis
Capacity: 30
Event types:
- Workshops and courses
Activity log
