Louis BECQUEY

docker tag to latest by default

......@@ -81,7 +81,7 @@ Update runs are much quicker, around 3 hours. It depends mostly on what RNA fami
* Step 1 : Download the [Docker container](https://entrepot.ibisc.univ-evry.fr/f/e5edece989884a7294a6/?dl=1). Open a terminal and move to the appropriate directory.
* Step 2 : Extract the archive to a Docker image named *rnanet* in your local installation
```
$ docker image import rnanet_v1.2_docker.tar rnanet
$ docker load -i rnanet_v1.2_docker.tar
```
* Step 3 : Run the container, giving it 3 folders to mount as volumes: a first to store the 3D data, a second to store the sequence data and alignments, and a third to output the results, data and logs:
```
......
......@@ -1203,7 +1203,7 @@ class Pipeline:
if self.HOMOLOGY:
self.known_issues = [ x[:-1] for x in issues.readlines() if '-' in x ]
else:
self.known_issues = [ x[:-1] for x in issues.readlines() id not '-' in x ]
self.known_issues = [ x[:-1] for x in issues.readlines() if not '-' in x ]
if self.USE_KNOWN_ISSUES:
print("\t> Ignoring known issues:")
print(" ".join(self.known_issues")
......
......@@ -15,7 +15,7 @@ cp `which x3dna-dssr` $THISDIR
######################################################## Build Docker image ######################################################
# Execute the Dockerfile and build the image
docker build -t persalteas/rnanet ..
docker build -t rnanet:latest ..
############################################################## Cleaning ##########################################################
rm x3dna-dssr
......