Experimental Design and Statistical Analysis for traditional and high-throughput studies / Data

Description

Developing statistical methods for biotechnology data and advocating good study design and statistical analysis practices. To date, his lab has developed biostatistical methods for analysis of microarray gene expression, high-throughput screening (HTS) of small molecules and RNAi data, image-based high content screening (HCS), metabolomics and genome-wide polysomal profiling.

Exemples de plateformes
   
LPEadj:
R package for correction of the local pooled error (LPE) method to replace the asymptotic variance adjustment with an unbiased adjustment based on sample size

Site web

FlexArray:
User-friendly Windows software for microarray analysis (now maintained by Genome Quebec)

Site web         

anota:
R package for analysis of differential translation in polysome microarray or ribosome-profiling datasets

Site web
     
Statistics and dIagnostic Graphs for HTS (SIGHTS) R Package for analysis of High-throughput Screening data

Site web

Nous Joindre

Dr. Robert Nadon
Associate Professor, Dept Human Genetics
McGill University
http://nadon-mugqic.mcgill.ca