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Workshop Series: Quantitative Methods for HIV Researchers

The 3rd series of workshops is now open for registration! These workshops will explain how data is generated from the target platform, processing of the raw data, and downstream analysis and visualization.
Priority will be given to applicants who have attended the first two series of workshops. If you did not attend previous workshops, you will need to be competent in the R programming language to benefit.
For this series, you can register for individual workshops. However, workshop 1 is mandatory for anyone registering for workshops 2, 3 or 4 as the foundations of sequence analysis will not be reviewed.

Detailed Workshop Schedule - DOC
Register here!

The series consists of the following modules:

Part I:    Basic data science in R (Aug – Oct 2019)
Part II:   Design, analysis and interpretation of experiments (Oct – Dec 2019)
Part III:  Modeling, analysis and visualization of multi-parameter data (Jan – Apr 2020)

For Parts I and II, applicants are expected to attend ALL workshops. For Part III, applicants may select one or more workshops of relevance to their research. As these FREE workshops are funded by NIAID, priority will be given those involved in HIV/AIDS research, US citizens/permanent residents, and under-represented minorities. These workshops build on each other sequentially; hence, for Part II, priority will be given to those who have attended Part I, and for Part III, priority will be given to those who have attended Parts I and II. The requirement to attend prior workshop modules can be waived if you can demonstrate prior knowledge and competency in data science (for Parts II and II) and statistics (for Part III).

Part I:
Data Science Workshops

Date Topic
8/30/2019 Intro to Rstudio, Basic R commands, objects
9/6/2019 Dataframes, tidy data, tidyverse, ggplot2
9/13/2019 Exploratory Data Analyses (Visualization)
9/20/2019 Models, formulas
9/27/2019 Bioconductor objects
10/4/2019 Bioconductor workflow example

 

 

 

 

 

 

Part II:
Statistics Workshops

Date Topic
10/11/2019 Intro/study design
10/18/2019 Exploratory Analyses
10/25/2019 Hypothesis testing Pt 1
11/1/2019 Hypothesis testing Pt 2
11/8/2019 Modeling
11/15/2019 Random Effects

 

 

 

 

 

 

Part III:
Assay Data Analysis Workshops

Date Topic
1/16/2020 Intro to HTS/RNA-Seq
1/31/2020 Intro to Statistical Downstream Analysis of RNA-Seq Data
2/13/2020 Microbiome analysis
2/21/2020 Single-cell Analysis
3/6/2020 Analysis of antibody assays
4/3/2020 Analysis of neuro-imaging data

For more information, please email kelly.sune@duke.edu