Genome Prairie

Detecting Biases in Genetic Databases, and Their Effects on Data Analysis

Dr. Brian Fristensky, Anil Amarakoon,  Dept. of Plant Science
Zhingen Zhu, Dr. Dean Slonowsly, Dept. of Statistics
University of Manitoba

 Assumption underlying most types of analysis:
The dataset is representative of the natural population

eg. Every time we pull marbles from a jar, we should get roughly the same number of red and black marbles.
marbles.gif


We should be able to estimate the percentages of red and black marbles by counting any of the samples.

Problem: What if the marbles in a sample were NOT chosen at random?

How can we discover the types of biases that exist in biological databases, and how they influence our experiments?

http://home.cc.umanitoba.ca/~frist/Seminars/Towson/Towson.html

 
FRISTENSKY LAB
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