https://github.com/brsynth/rpvisualiser
Metabolic engineering visualizer
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Last synced: 10 months ago
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Metabolic engineering visualizer
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 6 years ago
· Last pushed about 6 years ago
https://github.com/brsynth/rpVisualiser/blob/master/
# 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: Delpine 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
Owner
- Name: BioRetroSynth
- Login: brsynth
- Kind: organization
- Website: http://www.jfaulon.com
- Repositories: 33
- Profile: https://github.com/brsynth
Our group is interested in synthetic biology and systems metabolic engineering in whole-cell and cell-free systems.
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Dependencies
docker/Dockerfile
docker
- ${IMAGE} latest build
docker/docker-compose.yml
docker
- brsynth/${COMPOSE_PROJECT_NAME} latest
- brsynth/${COMPOSE_PROJECT_NAME}.req latest
requirements.in
pypi
- beautifulsoup4 *
- cirpy *
- lxml *
- matplotlib *
- networkx *
- opencv-python *
- pubchempy *
requirements.txt
pypi
- beautifulsoup4 ==4.9.1
- cirpy ==1.0.2
- cycler ==0.10.0
- decorator ==4.4.2
- kiwisolver ==1.2.0
- lxml ==4.5.1
- matplotlib ==3.2.1
- networkx ==2.4
- numpy ==1.18.5
- opencv-python ==4.2.0.34
- pubchempy ==1.0.4
- pyparsing ==2.4.7
- python-dateutil ==2.8.1
- six ==1.15.0
- soupsieve ==2.0.1