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jModelTest

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Name: jModelTest
Works on: windowsWindows 7 and above
Version: 2.1
Last Updated: 04 Apr 2017
Release: 01 Mar 2015
Category: Science CAD
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3743 downloads
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jModelTest Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: 5435fe7df331fec82865c09a5fe487e7a77e7083
Size: 10.67 MB
File Format: gz
Rating: 2.695652173 out of 5 based on 23 user ratings
Publisher Website: External Link
Downloads: 3743
License: Free
jModelTest is a free software by The University of Vigo and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download jModelTest which is 10.67 MB in size and belongs to the software category Science CAD.
jModelTest was released on 2015-03-01 and last updated on our database on 2017-04-04 and is currently at version 2.1.
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jModelTest Description

jModelTest is a scientific application that can perform a selection of nucleotide substitutions, useful in DNA analysis, with support for large packets of data.
It is an open-source, cross-platform project that targets students, teachers, as well as researchers in the DNA field. Most of the analysis is done automatically, however, advanced nucleotide knowledge is expected from the user, mostly for the interpretation of the results.
jModelTest relies on the Java Runtime Environment to run successfully, but that’s the only dependency you need to provide. It comes wrapped up inside a portable package, therefore installation is not required.
The interface of jModelTest is fairly simple, but the functions embedded inside it are of a more complex nature. Most of the GUI is dedicated to the analysis of the data and the reports that result from this process, which, depending on the information contained inside the source file, can be quite lengthy.
There are five different selection strategies and these are embedded inside the Analysis menu, as follows: AIC (Akaike Information Criterion), BIC (Bayesian Information Criterion), DT (Decision Theory), hLRT (hierarchical likelihood ratio tests) and Phylogenic Averaging.
All of these can be configured before the actual analysis process; for instance, you can adjust the confidence interval or set the application to perform a model averaging. To top it off, you can also instruct the program to do a likelihood score computation that depends on a customizable rate variation and a pre-selected base tree model.
In conclusion, jModelTest can save the time and effort scientists would invest in performing DNA analysis operations by traditional means. However, it is recommended that the results be thoroughly verified, just in case.
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