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Dockerfile

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@@ -7,9 +7,9 @@ ENV GALAXY_CONFIG_BRAND GraphClust
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ENV ENABLE_TTS_INSTALL True
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# Install tools
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COPY tools/graphclust_tools.yml $GALAXY_ROOT/tools.yaml
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COPY tools/graphclust_tools2.yml $GALAXY_ROOT/tools_2.yaml
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COPY tools/graphclust_utils.yml $GALAXY_ROOT/tools_3.yaml
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COPY ./assets/tools/graphclust_tools.yml $GALAXY_ROOT/tools.yaml
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COPY ./assets/tools/graphclust_tools2.yml $GALAXY_ROOT/tools_2.yaml
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COPY ./assets/tools/graphclust_utils.yml $GALAXY_ROOT/tools_3.yaml
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RUN install-tools $GALAXY_ROOT/tools.yaml && \
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/tool_deps/_conda/bin/conda clean --tarballs --yes && \
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ADD ./tours/* $GALAXY_ROOT/config/plugins/tours/
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# Data libraries
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ADD ./assets/scrips/library_data.yaml $GALAXY_ROOT/library_data.yaml
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ADD ./assets/library/library_data.yaml $GALAXY_ROOT/library_data.yaml
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# Add workflows to the Docker image
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ADD ./workflows/*.ga $GALAXY_ROOT/workflows/
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# setup-data-libraries -i $GALAXY_ROOT/library_data.yaml -g http://localhost:8080 -u $GALAXY_DEFAULT_ADMIN_USER -p $GALAXY_DEFAULT_ADMIN_PASSWORD
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# Container Style
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ADD ./img/workflow_early.png $GALAXY_CONFIG_DIR/web/welcome_image.png
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ADD ../assets/img/workflow_early.png $GALAXY_CONFIG_DIR/web/welcome_image.png
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ADD welcome.html $GALAXY_CONFIG_DIR/web/welcome.html

README.md

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@@ -98,7 +98,7 @@ After running the Galaxy server, a web server is established under the host IP/U
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[This video tutorial](https://www.youtube.com/watch?v=fJ6tUt_6uas) can be helpful to get a visually comprehensive introduction on setting-up and running Galaxy-GraphClust.
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[![IMAGE ALT TEXT HERE](./img/video-thumbnail.png)](https://www.youtube.com/watch?v=fJ6tUt_6uas)
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[![IMAGE ALT TEXT HERE](./assets/img/video-thumbnail.png)](https://www.youtube.com/watch?v=fJ6tUt_6uas)
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### Interactive tours
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Interactive Tours are available for Galaxy and Galaxy-GraphClust. To run the tours please on top panel go to **Help→Interactive Tours** and click on one of the tours prefixed **GraphClust workflow**. You can check the other tours for a more general introduction to the Galaxy interface.
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GraphClust pipeline for clustering similar RNA sequences together is a complex pipeline, for details please check GraphClust publication. Overall it consists of three major phases: a) sequence based pre-clustering b) encoding predicted RNA structures as graph features c) iterative fast candidate clustering then refinement
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![GraphClust pipeline overview (Heyne et al. 2012)](./img/graphclust_pipeline.png)
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![GraphClust pipeline overview (Heyne et al. 2012)](./assets/img/graphclust_pipeline.png)
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*GraphClust pipeline overview (Heyne et al. 2012)*
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