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2019-05-27

Date:
Tuesday, May 28, 2019 to Wednesday, May 29, 2019
Location
Speaker Info:
Description

To strengthen the Canadian community of research software developers and help maximize the impact of public funds for research, CANARIE is pleased to host the 2019 Canadian Research Software Conference.  This is an annual forum where software developers can learn, collaborate, exchange ideas, and discuss common issues with the goal of supporting high-quality Canadian academic research.

Registation / More Information
Date:
Monday, May 27, 2019 to Thursday, May 30, 2019
Location

University of Calgary

Speaker Info:
Description

This May, WestGrid will be brining its four-day Research Computing Summer School to the University of Calgary, hosted in partnership with UofC Research Computing Services and the Schulich School for Engineering. Course will explore introductory and expert topics in:

  • high performance computing
  • parallel programming
  • machine learning
  • research computing with Python / R / MATLAB / C / C++ / Chapel
  • scientific visualization

More Information:

If you have questions or would like more information about this training event, email alex.razoumov@westgrid.ca.

Registation / More Information
Date:
Monday, May 27, 2019 to Tuesday, May 28, 2019
Location
Speaker Info:
Description

Informatics and Statistics for Metabolomics

Course Objectives

Using high-throughput technologies, life science researchers can identify and characterize all the small molecules or metabolites in a given cell, tissue, or organism. The CBW course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Hands-on practical tutorials using various data sets and tools will assist participants in learning metabolomics analysis techniques.

Participants will gain practical experience and skills to be able to:

  • Design appropriate metabolome-focused experiments
  • Understand the advantages and limitations of metabolomic data analysis
  • Devise an appropriate bioinformatics workflow for processing and analyzing metabolomic data
  • Apply appropriate statistics to undertake rigorous data analysis
  • Visualize datasets to gain intuitive insights into the composition and/or activity of their metabolome

Target Audience

This course is intended for graduate students, post-doctoral fellows, clinical fellows and investigators who are interested in learning about both bioinformatic and cheminformatic tools to analyze and interpret metabolomics data.

Prerequisites:

You will also require your own laptop computer. Minimum requirements: 1024x768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB 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). If you do not have access to your own computer, please contact course_info@bioinformatics.ca for other possible options.

This workshop requires participants to complete pre-workshop tasks and readings.

Early Registration Closed, Late Registration Open till May 26th.

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