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Characterizing the Performance of Models for Sequence Evolution and the Detection of Positive Selection
Characterizing the Performance of Models for Sequence Evolution and the Detection of Positive Selection
Name:Personal
Tisdell, Makayla Role :Text(marcrelator)
creator
Tisdell, Makayla Role :Text(marcrelator)
creator
Name:Personal
Liberles, Dr. David Role :Text(marcrelator)
contributor
Liberles, Dr. David Role :Text(marcrelator)
contributor
typeOfResource
still image genre
Origin Information
Place
Laramie, Wyoming
University of Wyoming (keyDate="yes")
2009-05-18
Laramie, Wyoming
University of Wyoming (keyDate="yes")
2009-05-18
Language:Text
eng
eng
Physical Description
born digtal
born digtal
abstract
Proteins are constantly evolving and mutations are continually emerging. A point mutation can result in a change to the base pair sequence of a gene. Mutations can lead to positive selection in a population which is when an advantageous point mutation increases in frequency and eventually sweeps a population. Detecting positive selection is important because it can help deduce when a functional change has occurred in a protein. However, understanding where and when positive selection occurs has proven to be a challenge. Models of protein evolution have been developed that describe the probabilities of change in a protein resulting from mutations. Programs that use phylogenetic analysis and statistical methods (PAML, Yang 1997) combined with different models are powerful tools when attempting to identify positive selection. Using simulated data, I systematically evaluated the power of these models to recover positive selection. Positive selection has also been linked to evolutionary rate shifts. The Covarion model can be used to detect these rate shifts and identify positive selection. I hypothesized that in a population there is a time-dependent transition from the Rates across Sites model to the Covarion model and that positive selection will increase the rate of this transition. note
From - Undergraduate Research Day 2009 - Celebration of Research - Abstracts
Subject
protein sequence evolution
protein sequence evolution
Subject
mutation-led positve selection
mutation-led positve selection
Subject
phylogenetic analysis
phylogenetic analysis
Subject
Covarion model
Covarion model
Related Item:series
Title Information
Undergrauate Research Day 2009
Undergrauate Research Day 2009
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accessCondition:useAndReproduction
http://digital.uwyo.edu/copyright.htm
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languageOfCataloging
:Text(ISO639-2B)
English :Code(ISO639-2B)
eng
English :Code(ISO639-2B)
eng