We recommend to build the environment using conda (developped with miniconda 3, conda 4.9.2 ) with the file [environment.yml](https://forgemia.inra.fr/umr-gdec/magatt/-/blob/master/envs/environment.yml):
|**targetFasta**|FASTA|fasta file of the target genome assembly on which we transfert the annotation|targetFasta: 'data/CS_pesudo_v2.1.fa'|
|**targetBwaIdx**|BWA index|Prefix for the BWA index files|targetBwaIdx: '/data/db/triticum_aestivum/arinalrfor/current/bwa/all'|
|**targetBwaIdx**|BWA index|Prefix for the BWA index files|targetBwaIdx: '/data/db/triticum_aestivum/julius/current/bwa/all'|
|**targetGmapIndex**|PATH|Name of the GMAP index directory. This will be used with the `-d` option of `gmapl`|targetGmapIndex: 'ensembl_Triticum_aestivum_julius_2022-9-16'|
|**targetGmapIndexPath**|PATH|Full path to the directory in which the GMAPindex is found. This will be used with the `-D` option of `gmapl`|targetGmapIndexPath: '/data/db/triticum_aestivum/julius/gmapdb/all/'|
This will allow to have at most 32 subproccess run through the SLURM scheduler with `sbatch`.
You can use a custom [cluster.json](https://forgemia.inra.fr/umr-gdec/magatt/-/blob/master/cluster.json) JSON file do setup the parameters of SBATCH for each rules, and use it with with:
You can use a custom [cluster.json](https://forgemia.inra.fr/umr-gdec/magatt/-/blob/master/cluster-hpc2.json) JSON file do setup the parameters of SBATCH for each rules, and use it with with: