December 10 - 12, 2012
High Content Screening Workshop
Introduction to Fluorescence Microscopy
Assay Development and Implementation, Live Cell Imaging
Image Analysis, Plate Data Maps, Hierarchical Clustering
Lectures Only $250: 9:00 to 12:30
Lectures and Hands-On Labs $600: 9:00 to 18:00
For additional information, please email us at:
hcs [dot] workshop [at] gmail [dot] com
March 2011
Gene Expression Analysis for Non-Bioinformaticians March 19-22, 2012
Target audience: Graduate students or professionals in the biological sciences with or without previous programming experience.
Goal: This course provides a basic introduction to data analysis of gene expression experiments using R and Bioconductor.
Topics to be covered: Introduction to R/Bioconductor -Plotting data in R -Microarray analysis (e.g. normalization, clustering, differential expression)
Each session will include a 45 min lecture and a 2 hour hands on practical session.
March 19 Room 3120, Trottier Building 9:00-12:00pm Lecture 1: Introduction to R. R Data structures in R: matrices, vectors, lists and data frames. Reading/manipulating/writing text files, searching, matching, sorting and other basic commands. Practical Session: Hands-on session to practice R basics introduced during lecture.
March 20: Room 3120, Trottier Building 9:00-12:00pm Lecture 2: Graphs and Plots. Bar graphs,pie graphs, histograms. Scatter plots. Box plot. Practical Session: Hands-on session where participants will learn how to manipulate raw data to create their own graphs and plots.
March 21: Room 3120, Trottier Building 9:00-12:00pm Lecture 3: Gene Expression Analysis Part I. Microarray normalization. Probe Annotation. Class discovery. Practical Session: Hands-on session to implement ideas introduced during the lecture. Participants will normalize and cluster raw data.
March 22: Room 3120, Trottier Building 9:00-12:00pm Lecture 4: Gene Expression Analysis Part II. Class distinction (limma, significance analysis of microarrays). Pathway analysis. Hands-on session where participants will experiment with microarray and pathway analysis of data.
To register please contact: secretary [at] mcb [dot] mcgill [dot] ca (Email)
May 2011
McGill-Toronto Computational Systems Biology Retreat
May 13, 2011 9am - 7pm Room 2100, Trottier Building, McGill University, Montreal, Quebec
Synopsis:
This symposium aims to gather students and faculty members working in computational molecular and systems biology at McGill University and at the University of Toronto. It aims to promote interactions between the two institutions and to provide a forum for graduate students.
This year's symposium will feature two keynote speakers from Toronto and McGill, ten selected graduate student's talks and a poster session.
Information:
Date: May 13th, 2011
Time: 9:00- 7:00 pm
Place: Room 2100, Trottier Building, 3680 University st.
Contact: jerome [dot] waldispuhl [at] mcgill [dot] ca (Jérôme Waldispühl).
For more information and to register, please follow the link below:
http://csb.cs.mcgill.ca/CBRetreat/
The Universities of Toronto and McGill are major Canadian biotechnology research centers with strong training programs in bio-related science. Unfortunately, both institutions remain largely disconnected. This retreat aims to promote graduate systems biology programs and seed collaborations. The principal objective of this event is to provide a forum for graduate students to present and discuss their research to an external audience in an environment less stressful than an international conference, and to offer them an opportunity to gain experience in scientific communication. Ten student talks will be selected and an abstract submission and a poster session will be organized. To complete this setup and provide students with long-term vision, the retreat will feature two keynote speakers, well-renowned researchers from both Montreal and Toronto. This year, Guillaume Bourque (Genome Quebec) and Gary Babder (Donnelly Centre) will deliver the keynotes. Finally, this retreat also aims to build social ties between departments, students, and faculty members working in systems biology.
April 2011
Clinical and Applied Proteomics
The Systems Biology Training Program is pleased to introduce the 2011 Workshop on Clinical and Applied Proteomics, which will take place on April 26th.
For more information and to register
Systems Epidemiology
Dr. Vanessa Dumeaux
To Register for workshop, please fill in this web form
Fundamental principles in systems epidemiology
May 16-20, 2011
room 1034,McIntyre building and 501, Goodman Cancer Research Building
9:30 – 4:00pm (there will be a lunch break from 12:30-2pm)
(Coffee will be provided during a morning break)
This course aims to give participants a good background in the fundamental aspects of epidemiology and biostatistics. The course will then focus on the introduction of high throughput technologies also called -omics technologies into epidemiology to investigate the systems biology of a disease.
Day 1: Definition of epidemiology and causality in public health Introduction – Historic and philosophical aspects – Characteristics of a cause – Criteria of causality – Bias - Implications
Day 2: Fundamental principles in epidemiology and biostatistics Measures of frequency in epidemiology (incidence and prevalence, mortality and lethality) – Measures of association and impact (relative risk and odds ratio – Attributable risk and etiological fractions of risk) – Statistical principles (notion of likelihood, estimation by intervals, inference tests)
Day 3: Stratified analysis: notions of analysis strategy, effect modification and confusion Introduction – Taking into account a third variable – Stratification – Effect modification and interaction – Confusion
Day 4: Molecular epidemiology: At the interfaces of epidemiology, genetics and genomics Introduction to genetic and genomic research – Design issues and bias in molecular epidemiology – Genome and SNPs analyses – Transcriptome and gene expression analyses – Example of the Norwegian Women and Cancer (NOWAC) study
Day 5: (to be held in room 501, Goodman Cancer Research Building) Systems epidemiology Definition of systems research – Use of -omics technology in systems epidemiology – Novel view of biological plausibility and causality.
Registration fee: $150.00 (A foapal is required)
Gene Expression Analysis for Non-Bioinformaticians - February 14-17, 2011
Target audience: Graduate students or professionals in the biological sciences with or without previous programming experience.
Goal: This course provides a basic introduction to data analysis of gene expression experiments using R and Bioconductor.
Topics to be covered: Introduction to R/Bioconductor -Plotting data in R -Microarray analysis (e.g. normalization,clustering, differential expression)-High throughput sequencing analysis Format:
Each session will include a 45 min lecture and a 2 hour hands on practical session.
February 14: Room 3120, Trottier Building 9:00-12:00pm Lecture 1: Introduction to R. R Data structures in R: matrices, vectors, lists and data frames. Reading/manipulating/writing text files. Searching, matching, sorting and other basic commands. Practical Session: Hands on session to practice R basics introduced during lecture
February 15: Room 3120, Trottier Building 9:00-12:00pm Lecture 2: Graphs and Plots. Bar graphs. Pie graphs. Histograms. Scatter plots. Box plot. Kaplan Meier curves. Practical Session: Hands on session where participants will learn how to manipulate raw data to create their own graphs and plots.
February 16: Room 3120, Trottier Building 9:00-12:00pm Lecture 3: Microarray normalization. Microarray analysis. Class distinction (limma, significance analysis of microarrays). Class discovery. Clustering methods. Practical Session: Hands on session to implement ideas introduced during the lecture. Participants will normalize and cluster raw data.
February 17: Room 3120, Trottier Building 9:00-12:00pm Lecture 4: High Throughput Sequencing. Power analysis. Quality control. Normalization. Binding site identification using chip-seq. Differential expression using RNA-seq Practical Session: Hands on session to apply techniques taught during lecture.
To register please contact: secretary [at] mcb [dot] mcgill [dot] ca (Email)
Light Microscopy Workshop - December 7-9, 2010
This course will aim to give students a good background in the fundamental aspects of light microscopy and an appreciation of the resources and technologies available at McGill University in the Life Sciences Complex Imaging Facility and the Cell Image and Analysis Network (CIAN).
The lectures will be held in room N2/2, Stewart Biology Building and will run from 9:00 am – 12:30 pm.
The labs will be held in W4/4 of the Stewart Biology Building as well as throughout the Imaging Facility and CIAN. The lab sessions will run from 2:00 pm -5:00 pm.
Day 1 Topics will include light-matter interactions, transmitted microscope optical train, Koehler alignment, image formation, contrast with dyes, dark-field imaging, phase contrast imaging, differential interference contrast (DIC) imaging and an introduction to fluorescence and fluorescence probes.
Day 2 Topics will include fixed sample preparation, digital images, resolution, sampling frequency, objectives, corrective lenses, fluorescence microscope optical train, light sources, detectors, quantitative imaging, and live cell microscopy.
Day 3 Topics will include 3D Imaging: wide-field deconvolution, laser scanning confocal, multi-photon, spinning disk, cross-talk and spectral imaging, total internal reflection fluorescence (TIRF), image processing and analysis.
AGAIN THIS YEAR BY POPULAR DEMAND – MICROSCOPY TRIVIA!!!
HANDS ON LABS – Sample preparation, transmitted light, fluorescence, 3D imaging, live cell imaging, image processing.
*Preliminary schedule – subject to changes.
For a more in-depth look, please visit: SB Imaging 2010