Teaching and Resources

Recently Taught Courses

SISG - Gene Regulation

1. Introduction to TWAS
2. TWAS with Summary xQTL Data and Finemapping
3. TWAS and Mendelian Randomization
4. ChiP-seq Analysis Pipeline
5. Analysis with Functions of Noncoding Variants

BIOS-770 - Advanced Statistical Genetics.

1. Genotype Imputation, Single Variant GWAS
2. QC, Population Stratification, LMM
3. LMM, Finemap, Multivarate GWAS
4. Rare Variant Test, Pleiotropy, Mendelian Randomization
5. TWAS

IBS-746 - Graduate Human Genetics.

1. Genome-wide Association Study
2. GWAS Approaches for Cohorts of Different Ancestries

IBS-519 - Data Analysis using R.

1. Linear Regression
2. ANOVA
3. Power Analysis
4. Permutation Test
5. Introductions to Machine Learning

IBS-538 - Data Science.

1. Multivariate Analysis with Application to RNAseq Differential Gene Expression Analysis

High Performance and Cloud Computing Cluster

HGCC

• Introductions to New HGCC

• Run Computation Tools and Submit Jobs on HGCC

• Introductions to BASH

RHPC

• Introductions to RHPC
• Helpful tips from Dr. Hao Wu

Emory Amazon Web Service (AWS)

• Introductions to Emory AWS

• AWS Documentation

Scientific Writing and Presentations

Scientific Writing

• Write ASHG Abstract
• Ten simple rules for structuring papers. PLOS Computational Biology, 2017.
• Ten simple rules for writing a response to reviewers. PLOS Computational Biology, 2017.
  • Example peer review process for PLOS Genetics with reviewers’ comments and response letters.
• Me write pretty one day: how to write a good scientific paper. Journal of Cell Biology, 2004.

Scientific Presentations

Poster Presentations

• How to Make An Effective Poster

Oral Scientific Presentations

• Scientific Presetnations 101
• Structure of a 10-minute Oral Scientific Presentation

Other Resources

Bioinformatics

1. Bioinformatics workshop documentations by UCDAVIS Bioinformatics Core with the following Covered Topics:
   • Bioinformatics Prerequisites (Command Line and R)
   • Single-Cell RNA-Seq Analysis
   • RNA-seq Analysis
   • Microbial Community Analysis (Amplicon)
   • Variant Analysis (Variant calling with GATK, Variant Annotation)

2. Analysis of single cell RNA-seq data by Hemberg lab, Welcome Sanger Institute, UK

3. ENAR 2021 short course on single cell RNA-seq analysis by Hao Wu, Emory University, and Ziyi Li, MD Anderson Cancer Center

Linux

• Cheat sheets of AWK, C++, Python, R, Screen, UNIX, Vim, Git

R

• R/Rstudio Tutorial Essential Videos

Coursera Python Courses

• Programming for Everybody (Getting Started with Python)
• Applied Data Science with Python

Jupyter Notebook (Recommended for Programing with Python)

• Introduction to Jupyter Notebooks
• Jupyter Kernels