ReadMe.md

PDA19 - Proteomics Data Analysis

Instituto Gulbenkian de Ciência (IGC) - Oeiras, Portugal - April 1^st - April 4^th 2019

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Co-Authorship

The following co-authors contributed to the development of the training material.

• Lennart Martens
• Harald Barsnes
• Lieven Clement

Credits

• Barsnes (http://www.cbu.uib.no/barsnes), CompOmics (https://compomics.com) & statOmics (https://statomics.github.io) teams. The repo was cloned from https://github.com/statOmics/pda, https://statomics.github.io/pda
• The rocker-binder team for providing a docker image with shiny proxy support.

Course Webpage

This is the link to the course webpage, for further information about the course.

Code of Conduct

Please read the CODE_OF_CONDUCT.md for details on contributing and reusing the training material.

License

This project is licensed under CC-BY 4.0 - see the License.md for details.

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Host & Co-Sponsor

Contributors

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PDA19 by GTPB is licensed under a Creative Commons Attribution 4.0 International License.