Robert Nadon Ph.D.

Robert Nadon

Robert Nadon began his career as an experimental psychologist and transitioned to statistical analysis of high-throughput biology in the 1990s as Director of Informatics at Imaging Research (in St. Catharines, Ontario). While there, he led a team of statisticians, programmers, and biologists to develop novel statistical algorithms and software for microarray analysis. Among the first to champion currently broadly-accepted formal statistical procedures for gene expression microarrays, he developed the first commercially available software package for analysis of microarray data (ArrayStat). More recently, he conceived and spearheaded the development of the popular FlexArray software package.

Since joining McGill faculty in 2002, Dr. Nadon has given over 50 invited scientific presentations and workshops on high-throughput data analysis. He has been PI on three Génome Québec funded grants on high-throughput methods in genomics and a grant on high-throughput screening funded by FQRNT. He is currently an Associate Editor with BMC Bioinformatics and a panel member on the NSERC Genes, Cells and Molecules Evaluation Group. He has established ties and has forged collaborations with colleagues in France; he was a visiting researcher at the Commissariat à l'Énergie Atomique (CEA) in Grenoble, France (2009-2010) and took the McGill lead toward establishing formal links between McGill and l’Université de la Méditerranée in Marseille. He has consulted internationally for biotechnology and pharmaceutical companies at all stages of research projects for both traditional and high-throughput research studies, from initial concept to final data analysis. A recurrent consultation task is to determine and correct underlying causes of underperformance for ongoing research programs.

Research Interests

Dr. Nadon’s primary research interests during the last 10 years have been the development of data analysis approaches for high-throughput data for the following biotechnology applications:

  • High-throughput screening (HTS) of small molecule and RNAi data
  • Genome-wide mRNA translation
  • Image-based high content screening (HCS)
  • Microarray gene expression

His research activities include:

  • Novel algorithm development and statistical modeling
  • Study design and data analysis protocol development
  • Collaborator on biological and medical research studies

Software development:

  • 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
  • FlexArray : User-friendly Windows software for microarray analysis (now maintained by Genome Quebec)
  • anota : R package for analysis of differential translation in polysome microarray or ribosome-profiling data sets
  • HTS Corrector : User-friendly Windows software for the analysis of high-throughput screening (HTS) data (primary developer, Vladimir Makarenkov, Université du Québec à Montréal)
  • Intensity quantile estimation and mapping (IQEM) : MATLAB code for the correction of image non-uniformity bias in high-content screening (HCS) dataCurrent research projects include developing statistical algorithms for analysis of Nuclear Magnetic Resonance (NMR) metabolomics data; assessing inter-laboratory reproducibility among five high-throughput screening (HTS) centres in France; HTS normalization and study design; development of software package for HTS analysis; high-content screening (HCS) statistical algorithms of image morphological measurements; RNAi study design and analysis.

Lab Composition

Carl Murie McGill Ph.D. in Human Genetics
Aixiang Jiang McGill Ph.D. in Biostatistics; co-supervisor, James Hanley (McGill)
Elika Garg M.Sc. in Human Genetics
Abdulaziz Al Suwailem M.Sc. in Human Genetics
Iurie Caraus Ph.D. in Computer Science; primary supervisor, Vladimir Makarenkov (Université du Québec à Montréal), Geeta Bhambhani (B.Sc.), Alvin Kuate Defo (B.Sc.)
Jennifer Button M.A. Research Assistant