July 12 – 9:00 am – 4:30 pm – in person
Prerequisite: Linux Essentials (or proof/assertion of proficiency in bash shell. Some R experience useful but not mandatory.)
REGISTER from calendar on Workshop page.
– Note: It is necessary to register for each workshop separately.
This (all day) new workshop will explore the Tuxedo Suite #2 (Hisat2, StringTie, and R-based package Ballgown) to analyze transcript-level analysis of bulk mRNA-seq experiments including differential gene expression. (Older Tuxedo Suite # 1 concits of bowtie/TopHat, Cuffdiff.)
We will run an analysis from data small enough for a Dektop/laptop computer with modern hardware (see requirements) and explore the “container” methods to use a Macintosh or a Windows computer to run Linux-bsaed software thanks for containers (with Docker Desktop.)
As such this workshop is as much a Next Gen Data analysis training as it is a Bioinformtics training that can be scaled to larger computers.
Hardware Requirements: A laptop following the University suggestions for students should be adequate for this workshop. See Computers & equipment for students: what do I need? However, a computer with 16 Gb RAM rather than 8 Gb would be more appropriate.
Prior training: Students should be familiar with the concept of “command line” typed within a terminal. The “Linux Essentials” workshop would be helpful. Macintosh users will use a Terminal with
bash or with
zsh while Windows users will run from a
PowerShell Terminal. These are “built-in” the operating systems and do not need installation.
A the latter portion of the workshop is carried within R and RStudio. Familiarity with these systems would be useful.
The workshop consists of short lecture material with emphasis on active hands-on exercises.
A $375 fee is required for each participants that includes printed materials.
* There is a minimal set of software that should be installed on laptops BEFORE attending the workshop. Instructions will be provided to attendees prior to the workshop
Dr. Jean-Yves Sgro, Ph.D., Biotechnology Center – email@example.com
All cancellations need to be notified 72 hours in advance.