Difference between revisions of "Experimental design and data analysis"

From OpenWetWare
Jump to: navigation, search
(see also)
(1. Selecting a project)
Line 8: Line 8:
== 1. Selecting a project ==
== 1. Selecting a project ==
* [http://www.ncbi.nlm.nih.gov/pubmed/19782018 How to choose a good scientific problem.] - 2009 review by Alon U in Mol. Cell
== 2. Planning your project ==
== 2. Planning your project ==

Revision as of 01:58, 3 April 2014

Tübingen logo word 300px.png

This page lists resources discussed in the Design and Analysis seminar and includes links to relevant further reading. Please feel free to add your own suggestions and comments to the sections. The course is run approximately yearly and takes places in the Institute of Biochemistry of the University of Tübingen. See the Institute's course page for dates and contact information.

Aim of the course

Experimental design and data analysis is a new graduate seminar piloted in 2013 to address the questions of how to plan an experiment and how to best analyze the resulting data. We look at how to do a proper background check, where to find the best protocols, how to formulate a useful hypothesis, methods to keep experiments on schedule, tools of data analysis, and finally we will talk about some psychological pitfalls frequently seen in the interpretation of results.

1. Selecting a project

2. Planning your project

3. Data analysis

4. Psychological pitfalls

See also