DBCNet

This code repository:

https://tinyurl.com/DBCNet2024

The collaborative spreadsheet:

https://docs.google.com/spreadsheets/d/1YzLqlKZBrjSAjGZ1VwzpoAemwn04uZNlmVhsGsmBPuk/edit#gid=0

• Sheet LINKS contains the links between manuscripts, this is where we will collaboratively build the network.
• Sheet Bergamnn, Ciriello, Dessimoz, Fasshauer, Kutalik, Malaspinas and Salamin already contains the list of manuscripts (you can add a row if you want).

The graph of the network:

https://thibaultlatrille.github.io/DBCNet/

Done:

• Nodes are already defined and grouped (by PI, thanks to volunteers).
• PDFs are already downloaded (in the PDF column of each sheet).
• Links within groups are already defined (based on abstract similarity).
• Convert the spreadsheet into a graph (using Python/networkx).
• Display the graph on a webpage (using d3.js, thanks to Clément Train).

To do:

• Create links between groups in the spreadsheet (LINKS), this is the goal of the workshop.

How to contribute

• Add rows in the sheet LINKS as links between manuscripts.
• Write your name in the first column (so that other people know who is working on each line).
• Use the Manuscript ID (e.g. B_pathway) to refer to a manuscript in the spreadsheet.
• Write the reason for the link in the Relationship column, this can be because the manuscript shares a similar topic, a similar method, dataset, or whatever you think is relevant.
• Write any comment in the Comment column if you wish too (optional).
• It is possible to have several rows for the same pair of manuscripts (reasons will be concatenated).
• If you are part of joint lab-meeting, seek link both inside and outside of these joint meetings.
• As many as you can, the more links the better!