#GISAID

Check out Ryan Hisner's philippic against GISAID.

On Bluesky:
https://bsky.app/profile/ryanhisner.bsky.social/post/3malpgyxcc22g

On Twitter:
https://x.com/LongDesertTrain/status/2003140532441337915?s=20

#GISAID ruining science. This is a great shame.

covSPECTRUM, an invaluable tool, will continue to work with open data from the INSDC system (ENA, NCBI, DDBJ).

But historical data and data from many countries only feeding into GISAID will be unavailable.

#Ontario, Canada peeps or anyone have insight into why there was a sudden stop of uploading Ontario COVID #genomic sequence data to #GISAID? Last sequences dated Feb. 12, 2025 and nothing since. There was still 57-83 sequences a day being uploaded before that.

Now only a small # of sequences coming from NB & Quebec and periodically a few from AB, BC, and NS for all of Canada. You can see the big drop in Canada sequences when ON stopped submitting so very difficult to track what is going on.🧵1/

👏🏼 Thanks to all the countries that are supporting #SARSCoV2 testing & rapidly submitting sequences to #GISAID

Top submitters #Canada #USA #Sweden #Australia #UK #Netherlands #France #Germany #Denmark #Italy #Chile #Japan #Spain #Slovenia #China
#Brazil #HongKong #Ireland

🙏🏼🇨🇦

#US #CDC: Technical #Update: #Summary #Analysis of #Genetic #Sequence of a HPAI A(#H5N1) Virus Identified in a #Human in #Michigan, https://www.cdc.gov/flu/avianflu/spotlights/2023-2024/h5n1-technical-update-may-24-2024.html

This analysis supports conclusion that overall #risk to general public associated with the ongoing HPAI A(H5N1) #outbreak has not changed and remains low at this time. #Genome of the virus identified from patient in Michigan (A/Michigan/90/2024) is publicly posted in #GISAID (EPI_ISL_19162802) and has been submitted to #GenBank.

Notre #pipeline de #phylodynamique #COV-flow pour générer des scripts #Beast à partir des données #GISAID de #COVID19 est maintenant publiée dans @PeerCommunityJournal suite à une recommandation par PCI Genomics.

Merci à Gonché Danesh pour son excellent travail !

https://peercommunityjournal.org/articles/10.24072/pcjournal.333/

Our #COVID19 #phylodynamics #COVFlow #pipeline to generate #Beast scripts from #GISAID data is now published in @PeerCommunityJournal following recommendation by PCI Genomics.

Thanks to Gonché Danesh for her great work!

https://peercommunityjournal.org/articles/10.24072/pcjournal.333/

"GISAID in crisis: can the controversial COVID genome database survive?"

The most popular repository for sharing SARS-CoV-2 sequence data has come under increasing scrutiny. Scientists and funders around the world must now consider what lies ahead for the open sharing of genome data.

#COVID19 #GISAID #COVIDgenomedatabase

https://www.nature.com/articles/d41586-023-01517-9