Basic Information:
August 21 - 23, Wednesday, Thursday, 9 am to 3 pm, and Friday, 9 am to Noon.
Organizer - UCSF CAT Bioinformatics
Contact - [email protected]
Location - Genentech Hall, Teaching Lab Room 227
Cost - $800 (UC Rate), Other Academic/Non-Profit ($1000), For-Profit ($1500) per person
via CAT iLabs submission (after acceptance), a Credit Card option is not available this time.
Seats Available - 25 Seats
Registration: Basics of Bulk RNA-Seq Analysis
Workshop Description:
This 2.5-day in-person workshop includes a half-day of introductory material, followed by two days of focused, in-depth coursework on Bulk RNA-seq. Participants will delve into Bulk RNA-Seq experiments using the command line and R, create and modify processing workflows, differential expression analysis, and diagnose and treat problematic data. A basic understanding of the command line and R is highly recommended for success in this course. We will conduct a very brief review on the first morning, but we will not be providing full instruction in basic CLI or R.
Structure:
- Day 1 (Morning): Introductory Material
- Day 1 (Afternoon) to Day 3 (Morning): In-depth Coursework on RNA-seq
Sprinkled within will be talks and conversations, including experimental design, technology usage, and philosophy of analysis.
Focus Areas:
- Experimental Design
- Data Generation and Processing
- Data Analysis to Differential Expression and Gene Ontology/Kegg analysis
Learning Objectives:
- Conduct RNA-Seq experiments using the command line and R.
- Create and modify Illumina sequencing data processing workflows.
- Diagnose and address problematic data.
Prerequisites
- Recommended: Basic understanding of the command line (CLI) and R.
- Intermediate Knowledge: Needed for maximum value from the course.
- Beginners: Can achieve a thorough understanding but may not be able to independently conduct an experiment.
Supplies Needed
- A laptop with the command line terminal and R/Rstudio preinstalled.
- We will have a dataset to use for the course, however you can bring your dataset for discussion purposes and feedback.
Recommendations for Beginners
- Enroll in introductory courses in CLI and/or R courses to get the maximum out of the course.