This wiki is maintained by the research labs of Matthew Keller and Luke Evans. We are a research group at the Institute for Behavioral Genetics at the University of Colorado Boulder. Our research includes

• Genome-wide association studies using microarrays and whole genome sequencing.
• Twin/Adoption studies
• Heritability, genetic architecture, and gene-environment interactions
• Expression regulation

You can find out more about our research on our websites: Matt Keller's website and Luke's faculty page

We're currently accepting applications for postdoctoral fellows. Please contact Luke or Matt if you're interested.

Interested graduate students can apply to work with Matt or Luke or others through both the Behavioral Genetics program in the Psychology & Neuroscience Department or the Evolutionary Biology Department

dev_con The “Developmental Consortium” is a budding longitudinal genetic association consortium effort.

uk_biobank

GSCAN Scott Vrieze led The GWAS & Sequencing Consortium of Alcohol and Nicotine use, and is now at U. Minnesota. It is a collaboration between UM, CU, Penn State, UMich, and MIT. External website with analysis plans etc is here.

Lab member bios are here.

Lab meeting goals and schedule are here.

cu_research_computing

my_sql

regular_expressions

unix_basics

IBG-RC CheatSheet on GitHub

EBIO3080_Evolutionary_Biology. Undergraduate. This course is an introduction to evolutionary biology, with a lab component. Taught in fall semesters.

EBIO4800_5800_Quantitative_Statistical_Genetics. Undergraduate/Graduate. This is an introduction to quantitative genetics, with undergraduate and graduate sections. Emphasizes analysis and writing. Taught 2020 Spring.

Undergrad

PSYC 2111: Statistics and research methods. This course is designed to be a quick overview of descriptive and inferential statistics, up to and including the general linear model.

PSYC 3101H- Honors Statistics in Psychological Research. Statistics and the research process are best learned by doing it, so the course is organized to give students lots of experience doing statistics and research. Part I of the course, approximately the first half of the semester, covers basic concepts and statistical techniques. Students master the techniques by using them in laboratory exercises and homework problems. There is a Mastery Exam at the end of Part I. Part II provides students with experience in all phases of the research process and it will allows students the opportunity to follow their own topical interests.

Grad

PSYC 5541 - Statistical Programming with R - This class is designed to get you fluent enough in the R programming language to use it as your go-to statistical and graphing software once you've completed the class. A good knowledge of the general linear model is assumed.

PSYC 5541 - Modern Methods in Statistical Genetics. The goal of this class is to introduce graduate students to modern methods in statistical genetics that use genome-wide data, to understand how results coming from these methods should be interpreted, and to gain insight into the conditions that must be met for proper conclusions to be drawn.

Other IBG-related wikis

Anything that can be posted publicly from our lab is posted here on this wiki. For internal documents and conversations we have an internal wiki. The rest of IBG also has a wiki for other other projects.

(Automatically exported to Dokuwiki from Mediawiki by Yamdwe on 10/28/19.)