Difference between revisions of "Bio-ind-study"

From Earlham CS Department
Jump to navigation Jump to search
Line 2: Line 2:
 
<p>The goal of this project is to analyze several different approaches to generating parsimonious phylogenetic trees across turtle taxa. During the course of this project, I will use and evaluate several bioinformatics tools for generating phylogenetic trees including PAUP, maximum likelihood, maximum parsimony, gene trees and amino acid analysis. I will attempt to answer such questions as why do these different methods produce different trees, what gene, trait or character is the most important or heavily weighted and any other questions generated by my research.</p>
 
<p>The goal of this project is to analyze several different approaches to generating parsimonious phylogenetic trees across turtle taxa. During the course of this project, I will use and evaluate several bioinformatics tools for generating phylogenetic trees including PAUP, maximum likelihood, maximum parsimony, gene trees and amino acid analysis. I will attempt to answer such questions as why do these different methods produce different trees, what gene, trait or character is the most important or heavily weighted and any other questions generated by my research.</p>
  
<ul>Schedule:
+
<ul>
<li>Literature research of algorithms</li>
+
<li>[[paup|PAUP]]</li>
<li>Testing algorithms</li>
+
<li>[[mrbayes|MrBayes]]</li>
<li>Analysis of results</li>
+
</ul>
<li>Final write-up</li></ul>
 

Revision as of 23:29, 22 January 2008

Analyzing different approaches to generating parsimonious phylogenetic trees across turtle taxa.

The goal of this project is to analyze several different approaches to generating parsimonious phylogenetic trees across turtle taxa. During the course of this project, I will use and evaluate several bioinformatics tools for generating phylogenetic trees including PAUP, maximum likelihood, maximum parsimony, gene trees and amino acid analysis. I will attempt to answer such questions as why do these different methods produce different trees, what gene, trait or character is the most important or heavily weighted and any other questions generated by my research.