Chat message

Slack / Private Message Drop, p.1001 [SLACK_001215] · slack_pm:msg:10444

Recipients on this medium are inferred from channel membership, not per-message addressing.

OK I'm on my bit...

In context

A single line often inverts meaning once you see what it answers, so neighbouring messages are always shown.

2021-09-21 08:49 Kristian G. Andersen open

Culture is very challenging so I don't think that approach makes sense.
2021-09-21 09:00 Kristian G. Andersen open

Here's what I suggest we do: • Make (spike) alignments with SC1, SARSr-CoVs, RaTG13(+close friends), Pangos, BANAL, SHC014, rs4237, SC2 • Mark 'key' sites based on what's in the grant - @Robert Garry, can you please help highlight the N-linked glycans based on Wuhan Hu-1 coordinates• Check to see if there's anything odd between SC2, basal viruses, and SC1• Look at e.g., codon usage at those sites if anything stands out• Cross-check with how those sites have evolved during the pandemic
2021-09-21 09:01 Andrew Rambaut open

And stay off email
2021-09-21 09:02 Andrew Rambaut open

Or carefully curate some emails for the FOI records
2021-09-21 09:07 Robert F. Garry

OK I'm on my bit...
2021-09-21 09:07 Kristian G. Andersen open

Exactly - let's dig around a little and then start an email chain. I'm in Zoom calls most of the day, but I'll dive in in the afternoon.
2021-09-21 09:09 Kristian G. Andersen open

Actually, let me get started - I just cleared my calendar for the next hour.
2021-09-21 09:34 Robert F. Garry open

Is this a good set for the SC1 related viruses - or others (some more civet ones)? [shared file(s): image.png]
2021-09-21 09:35 Kristian G. Andersen open

I'm getting (and annotating) the genomes now