Projects update meeting 2022-06-22: Difference between revisions
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# We will put the models on prod no matter what in 2 weeks (whether or not we are able to do this work) | # We will put the models on prod no matter what in 2 weeks (whether or not we are able to do this work) | ||
# Produce a MOU | # Produce a MOU | ||
===Model copy=== | |||
Tasks required before movingd to production | |||
===Machine learning methods for GO annotation prediction=== | |||
* AI 2022-06-08 ARBA -> invite at a Annotation call for discussion | |||
* Docs | |||
** https://gitlab.ebi.ac.uk/uniprot-public/unifire/-/blob/master/misc/media/UniFIRE-URML.pptx | |||
=Today's meeting is to establish the next medium (~6 months) and short term (1-2 months) priorities= | =Today's meeting is to establish the next medium (~6 months) and short term (1-2 months) priorities= | ||
Revision as of 03:43, 20 June 2022
Attendees
- Members: David, Huaiyu, Kimberly, Pascale, Seth, Suzi, Paul, Chris, Cynthia
- Present:
Ongoing work updates
Release/snapshop update
Last release May 16th
SynGO Updates
- Actions
- PO: Paul T
- TL: Dustin
- Ask Frank at SynGO to check
- Do we have some SOP? sanity checks?
- David to provide list of MGI checks
- Dustin will generate stats on the json to ttl conversion
- Ask Frank at SynGO to check models on dev, proposed date to get feedback by: June 23rd
- Make a syngo-specific pipeline to give them a report
- We will put the models on prod no matter what in 2 weeks (whether or not we are able to do this work)
- Produce a MOU
Model copy
Tasks required before movingd to production
Machine learning methods for GO annotation prediction
- AI 2022-06-08 ARBA -> invite at a Annotation call for discussion
- Docs