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GTPB/PDA19: Proteomics Data Analysis (2019)

appsOther research productkeyboard_double_arrow_right InteractiveResource 07 May 2020 English Publisher:Zenodo
Authors: Bioinformatics, The Gulbenkian Training Programme In;

doi: 10.5281/zenodo.3814729 , 10.5281/zenodo.3814728

GTPB/PDA19: Proteomics Data Analysis (2019)

Abstract

PDA19 - Proteomics Data Analysis Instituto Gulbenkian de Ciência (IGC) - Oeiras, Portugal - April 1st - April 4th 2019 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. Course Material Link to the course material Github Pages provide a simple way to make a website using Markdown and git. License This project is licensed under CC-BY 4.0.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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