Practical Genomics Workshop:
From Biology to Biostatistics
August 14-17, 2017
This four day workshop is an intensive hands-on introduction to analyzing next-generation sequencing data using publicly available Unix and R tools. Exercises are designed to take participants through a limited number of approaches (ChIP-seq and RNA-seq) in depth while emphasizing practical concepts in experimental design, quality control, biostatistics, reproducible research, and exploratory data analysis.
Days generally start 9:00AM and end 5:30PM. A laptop is required for both the interactive lectures as well as the many small group "breakout sessions" during which participants practice computational analysis. Please do not bring a tablet.
Topics to be covered include:
- Unix and R crash course
- short read sequence alignment
- RNAseq and ChIPseq analysis workflow
- peak and gene annotation
- gene set / pathway analysis
- visualizing high throughput analysis results
- effect of sample size on statistical power
- multiple hypothesis testing
The workshop won’t directly address:
- motif detection, variant calling, GWAS, metagenomics
- cluster computing, Galaxy, cloud computing
- programming / algorithm development
- Python, Perl, or other scripting language
The workshop will be held at the Carnegie Institution - Department of Embryology in Baltimore, Maryland. 3520 San Martin Drive, Baltimore, Maryland 21218.
A light breakfast and lunch will be served each day.
Faculty and Staff: $550
Hopkins and Carnegie students and postdocs: $325 (courtesy of ICTR subsidy*)
*Current Johns Hopkins University and Carnegie institution students and postdocs automatically qualify for a subsidy generously provided by the Johns Hopkins Institute for Clinical and Translational Research, resulting in a lower registration fee.
A limited number of additional subsidies are available for non-Hopkins students and postdocs. Please contact us for more information.
A copy of the 2016 agenda is available here.
Registration is closed.
Parking is available free of charge.