|KNEELAND, KATHLEEN - University Of Nebraska|
|FOSTER, JOHN - University Of Nebraska|
Submitted to: Entomological Society of America Annual Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 6/11/2012
Publication Date: N/A
Technical Abstract: Choosing a software program for analyzing population genetic data can be a challenge without prior knowledge of the methods used by each program. There are numerous web sites listing programs by type of data analyzed, type of analyses performed, or other criteria. Even with programs categorized in this manner, there are many choices for each type of data. In this project, we chose 9 programs, 4 normally used in our laboratory and 5 randomly chosen, to compare methods of analyses and similarity of results. Results were very similar; the slight differences did not alter the final interpretation.