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Slack / Private Message Drop, p.761 · slack_pm:msg:07969

Page text: p.761 · original PDF

Date
2021-05-07 14:42 (hour precision)
Type
chat message · slack
recipient
Kristian G. Andersen, Robert F. Garry, Edward C. Holmes
speaker
Andrew Rambaut

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I hate the PHE names because they look so similar.

In context

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  1. 2021-05-07 14:42 Kristian G. Andersen open
  2. 2021-05-07 14:42 Kristian G. Andersen open
    Laura/Karthik might suggest a couple of others join too, but this is the core team.
  3. 2021-05-07 14:42 Andrew Rambaut open
    OK. Easily done. Invitations sent.
  4. 2021-05-07 14:42 Andrew Rambaut open
    By the way, WHO is planning to call them 'alpha', 'beta', 'gamma' etc. which is probably a good a system as any butwe could still influence this.
  5. 2021-05-07 14:42 Andrew Rambaut
    I hate the PHE names because they look so similar.
  6. 2021-05-07 14:42 Kristian G. Andersen open
    Yeah, alpha, beta, gamma could work - we talked about the need for different "levels" and the ability to move between groups (e.g., "CA" variant moving from VOC (which it should never have been...) down to a lower classification). The PHE names are indeed bad - I always have to cross-reference back to the table also displaying the pangolin names (but as you say, we need to label constellations, not necessarily lineages).
  7. 2021-05-07 14:42 Andrew Rambaut open
    Yes - that is what we can put in the JSON definition files. We could have current PHE classification, WHO, CDC etc.Linking to lineages (possibly more than one - but probably not) where it is found.
  8. 2021-05-07 15:05 Andrew Rambaut open
    We also planned to have a big table of the individual mutations with information about evidence for phenotypic effect etc. (some spike ones are there in 'mutations.csv' but we have all been to busy to work on this). The COG mutationdashboard has a lot: http://sars2.cvr.gla.ac.uk/cog-uk/
  9. 2021-05-07 15:08 Kristian G. Andersen open
    Oh, nice - we have been talking about data layers like that too - a lot of interest on the NIH to incorporate immunological data (which, I agree, is key).

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