Teaching

Drs Griffith guest lecture regularly for a number of traditional courses at Washington University School of Medicine. Drs Griffith also coordinate the Cancer Informatics Journal Club and Dr Obi Griffith is course master for a Genomics in Medicine course. The Griffith Lab is deeply committed to providing open source educational resources to aid the bioinformatics community. To this end we maintain several online courses and tutorials. We also deliver periodic workshops based on these materials (see below). To date we have led 23 workshops held in 7 cities and 4 countries. Furthermore, we and many members of the lab are actively engaged in community forums such as BioStars.

Upcoming Workshops

  1. PR Informatics - Precision Medicine Bioinformatics: From raw genome and transcriptome data to clinical interpretation, Glasgow, Scotland, UK, Oct 29 - Nov 2, 2018
  2. Cold Spring Harbor Laboratory Courses - Advanced Sequencing Technologies & Applications, New York, USA, Nov 6-18, 2018
  3. Physalia Courses - Genomic Data Visualization and Interpretation, Berlin, Germany, Apr 8-12, 2019.

Past/Recent Workshops

  1. Canadian Bioinformatics Workshops - Informatics for RNA-Seq Analysis, Toronto, Canada, May 28-30, 2018

Online Courses

  1. rnaseq.wiki - Informatics for RNA-seq: A web resource for analysis on the cloud.
    Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
  2. genviz.org - Genomic Data Visualization and Interpretation.
    In-depth tutorials for the interpretation and visualization of omic data including: genome browsing and interpretation, introduction to BioMart, liftover, ProteinPaint, COSMIC, introduction to R, ggplot2, R Markdown, Shiny, GenVisR, differential expression and pathway analysis, variant annotation and interpretation, and others.
  3. pmbio.org - Precision Medicine Bioinformatics. Coming Soon. An end-to-end precision medicine analysis of real human genome (WGS and Exome) and transcriptome (RNA-seq) data for a hypothetical patient. The goal of the analysis is to identify personalized therapeutic options for this patient as well as identifying any prognostic or diagnostic implications in the data.

Online tutorials (Selected)

Washington University Courses

  • Special Topics in Molecular Genetics: Molecular Basis of Cancer (BIO5288)
  • Genetics and Genomics of Disease (BIO5487)
  • Human Linkage and Association (M21-5483/L41-5483)
  • Genomics in Medicine I/II (M17-532/533)
  • Cancer Informatics Journal Club (L41-BIOL5499)