Topics in Systematics and Evolution: Bioinformatics for Evolutionary Biology

UBC Biol525D – Summer 2019

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Description

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.

Instructors

Dr. Gregory Owens, Dr. Kathryn Hodgins, Dr. Jean-Sebastien Legare

Format

A mix of lecture and lab exercises, running in a 2-hour block.

Prequisites

Students should have basic knowledge in R and some command line knowledge (although the latter could be obtained during the course)

Evaluation

Participation in discussions and lab exercises.

Consult Grading Information.

Assignments

Consult Daily Assignments

Lectures/seminars

July 29th to August 2nd, 2019.

SCRF 1328, 10am to Noon, 1pm to 3pm.

Basic course structure

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.

Syllabus

  1. Topic 1 Broad introduction: Scope of course, goals, overview of technology and bioinformatics, and the future of sequencing [Greg, JS]
  2. Topic 2 Programming for biologists [JS]
  3. Topic 3 Fastq files and quality checking/trimming [Kay]
  4. Topic 4 Alignment: algorithms and tools [GREG]
  5. Topic 5 Assembly: transcriptome and genome assembly [KAY]
  6. Topic 6 RNAseq + differential expression analysis [KAY]
  7. Topic 7 SNP and variant calling [GREG]
  8. Topic 8 Population genomics and plotting in R (Part 1) [GREG]
  9. Topic 9 Population genomics and plotting in R (Part 2) [GREG]
  10. Topic 10 Phylogenetic inference [GREG]

Obtaining all the files on this site

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

Use and modification of these resources

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

About this site:

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