BayeScan 2016

Introduction

"BayeScan aims at identifying candidate loci under natural selection from genetic data, using differences in allele frequencies between populations. BayeScan is based on the multinomial-Dirichlet model."¹

Installed version

The currently installed version is available on environment hpc-env/6.4:

BayeScan/2.1-intel-2018a

Using BayeScan

If you want to find out more about BayeScan on the HPC Cluster, you can use the command

module spider BayeScan

This will show you basic informations e.g. a short description and the currently installed version.

To load the desired version of the module, use the command, e.g.

module load hpc-env 6.4
module load BayeScan

Always remember: this command is case sensitive!

When the module is loaded, you can print out basic information about on how to use BayeScan:

 bayescan_2.1 -help

Documentation

The full documentation can be found here or on GitHub.