https://github.com/brsynth/rpvisualiser
Metabolic engineering visualizer
https://github.com/brsynth/rpvisualiser
Last synced: 5 months ago
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Metabolic engineering visualizer
- Host: GitHub
- URL: https://github.com/brsynth/rpvisualiser
- Owner: brsynth
- License: mit
- Created: 2020-06-11T08:14:23.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-11T10:09:07.000Z (about 6 years ago)
- Last Synced: 2025-09-09T20:14:13.518Z (9 months ago)
- Language: HTML
- Homepage:
- Size: 572 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# rpviz
Metabolic engineering visualizer
csv_network.py : To read information from a csv file
sbml2list.py : To read information from a sbml file
smile2picture.py : To convert SMILES into svg image
network2json.py : To convert the network in a json file
## 1 html/pathway
py2html : To create an html file from a json file, using a template (in html/template.html) with jinja2 and to use it with
## 1 html updated for each pathway
py2html2 : To create a .js file with the json file and to open it with the template2 (in html/template2.html) and the network_viewer.js
nxvisualizer.py : To open the network directly in Cytoscape
# Retropath2.0 wrapper
Implementation of the KNIME retropath2.0 workflow. Takes for input the minimal (dmin) and maximal (dmax) diameter for the reaction rules and the maximal path length (maxSteps). The tool expects the following files: `rules.csv`, `sink.csv` and `source.csv` and produces results in an output folder.
## Standalone
### Prerequisites
* Python 3
### Quick start
The main code is `src/RetroPath2.py` and can be run as the following:
```
python src/RetroPath2.py \
-sinkfile \
-sourcefile \
-max_steps 3 \
-rulesfile \
-topx 100 \
-dmin 0 \
-dmax 1000 \
-mwmax_source 1000 \
-mwmax_cof 1000 \
-timeout 30 \
-outdir \
-is_forward False
```
## Docker
RetroPath2 can be run into a docker container.
### Prerequisites
* Docker - [Install](https://docs.docker.com/install/)
### Installation
Before running the container, the image has to be built with:
```
cd docker
docker-compose build
```
### Run
Then, the tool is runnable by:
```
cd docker
./RetroPath2.sh
-sinkfile \
-sourcefile \
-max_steps 3 \
-rulesfile \
-topx 100 \
-dmin 0 \
-dmax 1000 \
-mwmax_source 1000 \
-mwmax_cof 1000 \
-timeout 30 \
-outdir \
-is_forward False
```
To call the tool with fresh code:
```
docker-compose run --rm -v :/home/src retropath2
```
To call the tool from any location:
```
cd docker
docker-compose run --rm \
-v :/home/source.csv:ro \
-v :/home/sink.csv:ro \
-v :/home/rules.csv:ro \
-v :/home/outdir \
-w /home \
retropath2 python src/RetroPath2.py \
-sinkfile \
-sourcefile \
-max_steps 3 \
-rulesfile \
-topx 100 \
-dmin 0 \
-dmax 1000 \
-mwmax_source 1000 \
-mwmax_cof 1000 \
-timeout 30 \
-outdir \
-is_forward False
```
## Test
All modes can be tested with:
```
cd test
./run[-in-docker].sh
```
### How to cite RetroPath2.0?
Please cite:
Delépine B, Duigou T, Carbonell P, Faulon JL. RetroPath2.0: A retrosynthesis workflow for metabolic engineers. Metabolic Engineering, 45: 158-170, 2018. DOI: https://doi.org/10.1016/j.ymben.2017.12.002