Scverse community meetings

Hey all!

We’re going to start our (long promised) scverse community meetings next week! They will be at 2023-02-06T23:00:00Z and repeat every other week.

Some links:

It’s open for the community to join. Probable topics include:

  • Ecosystem package development
  • Scverse events
  • And scverse development

Looking forward to seeing people there!

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Tomorrow at 2023-03-21 18:00 CET will be another community meeting!

This time, Clarence Mah is going to give a flash talk about bento tools, a scverse ecosystem package for spatial analysis at subcellular resolution. After that, there will be plenty of time for discussion and chatting with other community members.

Everyone is welcome to join!

Notes/Agenda | Calendar invite | Zoom link

Tomorrow, 2023-04-04 at 18:00 CEST there will be another open community meeting!

This time, Mikaela Koutrouli is going to give a flash talk about FAVA, an ecosystem package to reconstruct protein-protein interaction networks from single-cell data using variational autoencoders.
As usual, there will be time for informal discussion about anything scverse-related afterwards.

Everyone is welcome to join!

Notes/Agenda | Calendar invite | Zoom link

Next meeting 2023-04-18 18:00 CEST will be about Genomic Ranges support in AnnData.

Please come and tell us about your use-cases if you are working with ranged data!

Notes/Agenda | Calendar invite | Zoom link

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For our next community meeting, there will be a presentation on the SpatialData framework for processing spatial omics data! This will be at 2023-05-30T16:00:00Z2023-05-30T17:00:00Z (6PM CEST). Looking forward to seeing everyone there!

For more information on SpatialData, check out the twitter thread, docs, and preprint.

Next Tuesday at 2023-06-13 18:00 CET will be another community meeting!

For our next community meeting, Pau Badia-i-Mompel will talk about pseudobulk and differential expression analysis! Looking forward to seeing everyone there!

Everyone is welcome to join!

For more information on Best practices for single-cell analysis across modalities and decoupler