title | layout | menuItem | menuPosition |
---|---|---|---|
Biol525D Homepage |
home |
General info |
1 |
The purpose of this course is to provide graduate students with the theoretical knowledge and practical skills for the evolutionary analysis of next generation sequence data. The course will entail data retrieval and assembly, alignment techniques, variant calling, gene expression analyses, hypothesis testing, and population genomic and phylogenomic approaches. The course will be presented as a series of short lectures and lab exercises over a one week period in August.
Dr. Gregory Owens, Dr. Kathryn Hodgins, Dr. Jean-Sebastien Legare
A mix of lecture and lab exercises, running in a 2-hour block.
Students should have basic knowledge in R and some command line knowledge (although the latter could be obtained during the course)
Participation in discussions and lab exercises.
Consult Grading Information.
Consult Daily Assignments
July 29th to August 2nd, 2019.
SCRF 1328, 10am to Noon, 1pm to 3pm.
The course material is organized in several topics, with slides and coding examples.
To get up to speed on working with a Unix system, take a look at the unix help file. There are some resources there that will help you find the specific command you need for each task.
- Topic 1 Broad introduction: Scope of course, goals, overview of technology and bioinformatics, and the future of sequencing [Greg, JS]
- Topic 2 Programming for biologists [JS]
- Topic 3 Fastq files and quality checking/trimming [Kay]
- Topic 4 Alignment: algorithms and tools [GREG]
- Topic 5 Assembly: transcriptome and genome assembly [KAY]
- Topic 6 RNAseq + differential expression analysis [KAY]
- Topic 7 SNP and variant calling [GREG]
- Topic 8 Population genomics and plotting in R (Part 1) [GREG]
- Topic 9 Population genomics and plotting in R (Part 2) [GREG]
- Topic 10 Phylogenetic inference [GREG]
You may use your internet connection to browse this site, or you may download the entirety of the files on the site in one constantly updated zip archive here
This method dosesn't require git
, however, you'll have to manually
update the files this way (by downloading the whole repo again).
To obtain to all the files via git, type:
git clone https://github.com/owensgl/biol525D.git
To update the all the files at any point in the future, change to the biol525D directory that was created by the previous command and type:
git pull
You may use any of the materials provided here, and modify them in any way, provided there is appropriate attribution according the license found below and included with this project.
Copyright (C) 2015 S. Evan Staton, Sariel Hubner, Sam Yeaman
Modified work (c) 2016, 2017, 2018 Gregory Owens, Kathryn Hodgins
Modified work (c) 2019 Gregory Owens, Kathryn Hodgins, J.S. Legare
This program is distributed under the MIT (X11) License, which should be distributed with the package. If not, it can be found here: http://www.opensource.org/licenses/mit-license.php
This site is powered by GithubPages, and the code backing it is on GitHub here.