<commit_before>---
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title: "Teaching"
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permalink: "/teaching/"
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    image_fullwidth: "genvis-dna-bg_optimized_v1a.png"
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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](https://www.biostars.org/).

### Online Courses
1. [rnaseq.wiki](https://github.com/griffithlab/rnaseq_tutorial/wiki) - Informatics for RNA-seq: A web resource for analysis on the cloud.<br> 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](http://genviz.org/) - Genomic Data Visualization and Interpretation.<br> 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](https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/) - Precision Medicine Bioinformatics. <i>Coming Soon</i>. 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. 

### Upcoming Workshops
1. Canadian Bioinformatics Workshops - [Informatics for RNA-Seq Analysis, Toronto, Canada, May 28-30, 2018](https://bioinformatics.ca/workshops/workshop-application-form/#/)
2. PR Informatics - [Precision Medicine Bioinformatics: From raw genome and transcriptome data to clinical interpretation, Glasgow, Scotland, UK, July 16-20, 2018](https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/)
3. Cold Spring Harbor Laboratory Courses - [Advanced Sequencing Technologies & Applications, New York, USA, Nov 6-18, 2018](http://meetings.cshl.edu/courses.aspx?course=C-SEQTEC&year=18)

### Recent Workshops
1. Physalia Courses - [Genomic Data Visualization and Interpretation, Berlin, Germany, Sept 11-15, 2017](https://www.physalia-courses.org/courses-workshops/course14/). This course is scheduled to be held in Berlin during 2019. Precise dates TBD.

### Washington University Courses
<ul> 
  <li>Special Topics in Molecular Genetics: Molecular Basis of Cancer (BIO5288)</li>
  <li>Genetics and Genomics of Disease (BIO5487)</li>
  <li>Human Linkage and Association (M21-5483/L41-5483)</li>
  <li>Genomics in Medicine I/II (M17-532/533)</li>
  <li>Cancer Informatics Journal Club (L41-BIOL5499)</li> 
</ul>
<commit_msg>add tutorials section to teaching page<commit_after>---
layout: page-fullwidth
title: "Teaching"
meta_title: ""
subheadline: ""
teaser: ""
permalink: "/teaching/"
header:
    image_fullwidth: "genvis-dna-bg_optimized_v1a.png"
---

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](https://www.biostars.org/).

### Upcoming Workshops
1. Canadian Bioinformatics Workshops - [Informatics for RNA-Seq Analysis, Toronto, Canada, May 28-30, 2018](https://bioinformatics.ca/workshops/workshop-application-form/#/)
2. PR Informatics - [Precision Medicine Bioinformatics: From raw genome and transcriptome data to clinical interpretation, Glasgow, Scotland, UK, July 16-20, 2018](https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/)
3. Cold Spring Harbor Laboratory Courses - [Advanced Sequencing Technologies & Applications, New York, USA, Nov 6-18, 2018](http://meetings.cshl.edu/courses.aspx?course=C-SEQTEC&year=18)

### Recent Workshops
1. Physalia Courses - [Genomic Data Visualization and Interpretation, Berlin, Germany, Sept 11-15, 2017](https://www.physalia-courses.org/courses-workshops/course14/). This course is scheduled to be held in Berlin during 2019. Precise dates TBD.

### Online Courses
1. [rnaseq.wiki](https://github.com/griffithlab/rnaseq_tutorial/wiki) - Informatics for RNA-seq: A web resource for analysis on the cloud.<br> 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](http://genviz.org/) - Genomic Data Visualization and Interpretation.<br> 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](https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/) - Precision Medicine Bioinformatics. <i>Coming Soon</i>. 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
<ul>
  <li>[Introduction to AWS Cloud Computing](https://github.com/griffithlab/rnaseq_tutorial/wiki/Intro-to-AWS-Cloud-Computing)</li>
  <li>[Exploring cancer mutation data portals](https://www.biostars.org/p/102809/)</li>
  <li>[Databases Of Tumor Suppressors and Oncogenes](https://www.biostars.org/p/15890/)</li>
  <li>[Tools For Alternative Splicing Detection From Rna-Seq Data](https://www.biostars.org/p/65617/)</li>
  <li>[Converting Genome Coordinates From One Genome Version To Another (Ucsc Liftover, Ncbi Remap, Ensembl Api)](https://www.biostars.org/p/65558/)</li>
  <li>[Web Based Interactive Resources To Learn Programming And/Or Bioinformatics](https://www.biostars.org/p/76171/)</li>
  <li>[Packages For Visualization Of Biological Data In R](https://www.biostars.org/p/18331/)</li>
  <li>[Analysing Microarray Data In Bioconductor](https://www.biostars.org/p/53870/)</li>
  <li>[Individualized medicine in cancer by whole genome, exome or transcriptome sequencing](https://www.biostars.org/p/101101/)</li>
  <li>[Creating heatmaps in R](https://www.biostars.org/p/18211/)</li>
</ul>

### Washington University Courses
<ul> 
  <li>Special Topics in Molecular Genetics: Molecular Basis of Cancer (BIO5288)</li>
  <li>Genetics and Genomics of Disease (BIO5487)</li>
  <li>Human Linkage and Association (M21-5483/L41-5483)</li>
  <li>Genomics in Medicine I/II (M17-532/533)</li>
  <li>Cancer Informatics Journal Club (L41-BIOL5499)</li> 
</ul>

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