Introduction to Walk through MEGA

This walk-through provides several brief tutorials that explain how to perform common tasks in MEGA. Each tutorial requires the use of sample data files which can be found in the /MEGA/Examples folder (default location for Windows users is C:\Users\UserName\Documents\MEGA7\Examples\. The location for Mac users is $HOME/MEGA/Examples, where $HOME is the user’s home directory). It is recommended that you follow the examples for a given tutorial in the order presented as the techniques explained in the initial examples are used again in the subsequent ones.

In the tutorials, the following conventions are used:

·        Keystrokes are indicated by bold letters (e.g., F4).

·        If two keys must be pressed simultaneously, they are shown with a + sign between them (e.g., Alt + F3 means that the Alt and F3 keys should be pressed at the same time).

·        Italicized words indicate the name of a menu or window.

·        Italicized bold words indicate individual commands that are found in menus, submenus, and toolbars.

·       Main menu refers to the menu bar at the top of the currently active window (File, Analysis, Help, etc.).

·        Main MEGA menu refers to the menu on the main window of MEGA where you launch all of the analyses from.

 

·        Launch bar refers to the toolbar located directly below the main menu of the currently active window (Align, Data, Models, Distance, etc.).

images\toolbar.gif

·        For brevity, a sequence of menu / button clicks is indicated by a sequence of commands separated by pipes (e.g., File | Open indicates that you should click on the File main menu item and then click on the Open sub menu item that is displayed).

I want to learn about:

1.        Mega Basics

2.        Aligning Sequences

3.        Estimating Evolutionary Distances

4.        Building Trees from Sequence Data

5.        Testing Tree Reliability

6.        Working with Genes and Domains

7.        Testing for Selection

8.        Managing Taxa with Groups

9.        Computing Sequence Statistics

10.        Building Trees from Distance Data

11.        Constructing Likelihood Trees

12.        Editing Data Files

13.        Constructing Time Trees

14.        Inferring Gene Duplications