Microbiome Summer School - Big Data Analytics for Omics Science
Welcome
Welcome to Microbiome Summer School: Big Data Analytics for Omics Science.
This Summer School is a joint offering by the Canadian Institutes of Health Research (CIHR), Université Laval Big Data Research Centre, the Canada Excellence Research Chairs (CERC) Program, and CBW.
Class Photo
Day 1
Calcul Québec Team
How to Use Compute Canada Resources
Plenary 1
Jacques Corbeil
Plenary 2
Robert Beiko
Microbiomes, Metagenomes, and Marker Genes
Krystle van Hoof
Transforming Science: Sex, Gender and the Microbiome
Practical Training 1
Morgan Langille
Microbiome Helper Official Virtual Machine
Plenary 3
Morgan Langille
Frédéric Raymond
Practical Training 2
Metagenomics tutorial (HuMANN2)
Day 2
Plenary 4
Fiona Brinkman
Microbiome Biomarker Discovery
Practical Training 3
Morgan Langille
PICRUSt: Metagenomic Inference
Plenary 5
John Parkinson
Jacques Corbeil
Practical Training 4
Day 3
Plenary 6
Marie-Pierre Dubé
Host Genomics Applied to the Microbiome
Plenary 7
François Laviolette
Introduction to Machine Learning for Biological Data
Practical Training 5
Introduction to Machine Learning
Day 4
Plenary 8
Mickael Leclercq
ElasticSearch to Facilitate Data Mining of Human Microbiome Databases
Plenary 9
Mario Marchand
Algorithms for Mass Spectrometry
Plenary 10
Chloé-Agathe Azencott
Efficient Multi-Locus Biomarker Discovery
Practical Training 6
Introduction to Mass Spectrometry Preprocessing and Machine Learning
Other Links
CIHR Institute of Gender and Health
CIHR Institute of Infection and Immunity
The 2017 Microbiome Summer School Virtual Machine (VMware version)