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README.md

BA3

BayesAss edition 3

This is BayesAss edition 3 (BA3), a program for inference of recent immigration rates between populations using unlinked multilocus genotypes.

BA3 is free software, you can redistribute it and/or modify it under the terms of the GNU General Public License.

The GNU General Public License does not permit this software to be redistributed in proprietary programs.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Availability

The current stable version of BA3 is always available from http://rannala.org.

Installation

BA3 follows the standard GNU installation procedure. Please consult the INSTALL file in this distribution for more detailed instructions.

For information about specific platforms and compilers see the "Compilation Notes" section in the INSTALL file.

More information about BayesAss

The project homepage is http://www.rannala.org

See the NEWS file for recent changes to the program.

Reporting Bugs

A list of known bugs can be found in the BUGS file. Details of compilation problems can be found in the INSTALL file.

If you find a bug which is not listed in these files please report it to brannala@ucdavis.edu.

All bug reports should include:

   The version number of BA3, and where you obtained it.
   The hardware and operating system
   The compiler used, including version number and compilation options
   A description of the bug behaviour
   A short program which reproducibly exercises the bug

It is useful if you can check whether the same problem occurs when the program is compiled without optimization. Thank you.

Any errors or omissions in the manual can also be reported to the same address.

Contributing to BayesAss

If you are interested in participating in BA3 development, please see the github repository at https://github.com/brannala/BA3/

About

BA3 is a software package for estimating rates of migration between populations using multilocus genotype data.

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