Bgc 2016
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Introduction
bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data.
Installed versions
On environment hpc-env/6.4:
bgc/1.03-intel-2018a
Using AUGUSTUS on the HPC cluster
You need to switch to the new environment hpc-env/6.4 before loading the bgc module:
module load hpc-env/6.4 module load bgc
Documentation
If you want a short introduction to the available commands, you can use the help function after loading the module. Just type in:
bgc --help
The full documentation of AUGUSTUS can be found here. For further information you can find the manual here
