BioHackrXiv paper from BioHackathon Europe 2024 Project #16
Erik - relevant background and references + method and results from exact string matching/"naive" approach for the baseline
Rob - Venn diagrams for mentions of comet, mascot and maxquant, in OA and non-OA literature
Tess - methods and results from the machine learning (with input from others involved)
Aleks - co-mention and co-citation matrices, network construction with igraph? Interested in making this a paper of your PhD?
Ana - Cytoscape visualization with py4cytoscape - explore possibilities to make an interactive visualization with Cytoscape.js or put a network up on NDEx, silimar to the Bioregistry network?
Vedran - Jupyter notebooks, GitHub repositories and data repositories
Magnus - Discussion and Conclusion (first draft, for input by everyone)
Veit - Clean up general stats and find some interesting cases, co-writing
Have first versions of all of the above before the end of November (Aleks, Ana, Magnus and Veit will meet December 2 in Odense)
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Finalize BioHackrXiv paper
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Integrate ML results into pipeline for stats and co-mentioning graphs
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Make networks openly (interactively) available?
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Create comprehensive diagram of the conceptional background: what are tools, what type of connections, how is the entire thing organized and developed?
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Two different networks: a) co-mentioned tools (through other papers), b) which tools mentions/cites which other tool
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Collect concrete use cases for where these graphs can be used