RNA-Seq Data Analysis With R
The RNA-Seq Data Analysis With R workshop will introduce attendees to the R software environment and the specific skills and applications used in R-based RNA-Seq data analysis.
During this course you will learn;
- Upload and process data in R to generate plots, figures and tables,
- Create and run functions in R,
- Create reports interactively in R,
- Write your own R script for data processing,
- Import RNA-Seq data to R as data objects,
- Carry out standard QC tests,
- Use the limma-voom R package to produce lists of differentially expressed genes between pairs of samples,
- Identify over-represented gene ontology categories in gene lists using the GOStats package.
This workshop has been designed for life scientists who have specific interests in RNA-Seq data analysis in R. The workshop assumes that attendees have general understanding of NGS technology. The workshop will include an introduction to R and as such no prior experience with the command line or R is required.
Preference will be given to medical researchers from NSW and ACT based organisations.
- Dr Xin-Yi Chua (Head of Informatics, QFAB Bioinformatics)
- Katherine Champ (Bioplatforms Australia, Sydney)
|Sydney||Macquarie University||27th-29th November 2017||$495.00 (plus GST)|
This workshop will run over 3 days and will be delivered using a mixture of lectures, hands-on practical sessions, and open discussions. View draft timetable here.
Registration and Payment
Places are strictly limited to 25 participants due to the practical component of this course. To manage the high demand, all workshop applicants are subject to a selection process and MUST complete the online application form to be considered for a place. Applicants must meet the requirements to be considered for this workshop. The application period closes 13th of October 2017. Successful applicants will be notified no later than the 6th of November 2017. The workshop fee of $495.00 (plus GST) covers course material, computer access, lunch, and refreshments. Payment can be made by cheque, EFT or credit card.
For further information contact Katherine Champ, firstname.lastname@example.org.