Joined April 2018
26 Photos and videos
Thomas Yssing Michaelsen retweeted
Last week I gave a "behind the scenes" public lecture on how we established the national surveillance of SARS-CoV-2 variants in Denmark - and how it helped to inform key decisions of the pandemic response in Denmark vimeo.com/645949430 1/2
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Thomas Yssing Michaelsen retweeted
27 Aug 2021
It's time to stop making t-SNE & UMAP plots. In a new preprint w/ Tara Chari we show that while they display some correlation with the underlying high-dimension data, they don't preserve local or global structure & are misleading. They're also arbitrary.🧵biorxiv.org/content/10.1101/…
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Thomas Yssing Michaelsen retweeted
Det var ikke kun i laboratoriet at det gik hurtigt da @MadsAlbertsen85 fyrede op for analyse af #COVID19 genomer i DK. Kæmpe indsats af @CLAAUDIA_AAU teamet gjorde det muligt at få den nødvendige computerkraft på rekord tid. #infrastruktur #dkvid #dkpol #dkhealth
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Thomas Yssing Michaelsen retweeted
Today @SSI_dk uploaded ~1,300 #SARSCoV2 genomes to @GISAID that were sequenced over the weekend. Additionally, ~2,500 previously sequenced genomes were also uploaded today. Combined, we are approaching 30K genomes that have been made available from SSI within the last 2 months.
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Thomas Yssing Michaelsen retweeted
Another 4,000 COVID genomes from Denmark were just uploaded by @SSI_dk to GISAID
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Thomas Yssing Michaelsen retweeted
Our new pre-print offers a guided tour to the teams and the immense amount of data that was used to inform the pandemic response in Denmark to lineage B.1.1.7 (alpha) - a thread - 1/n: medrxiv.org/content/10.1101/…
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The majority of introductions were into the Capital region (which is also the most populous). From here, B.1.1.7 spread to other Danish regions. [6/7]
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For introductions with travel history we compared the country of travel to what was inferred from the phylogenetic analysis. These only matched 27% of the time, highlighting the limitations of available genomic data, which is still biased both geographically and temporally. [7/7]
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Happy 100K anniversary to #DCGC! 🙌 Just started uploading ~5500 sequences --> Denmark will have >100K sequences on @GISAID soon. Hats off to the lab-people at @aauengineering and people at @SSI_dk for achieving this!
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New sequences mostly from May. including ~70 B.1.1.7 E484K, ~20 B.1.617.2, 1 P.1, 2 B.1.351
Weekly @GISAID upload from #DCGC: ~5700 new sequences from first-half of May, incl. ~20 B.1.617.2, ~10 B.1.351, and ~80 B117 E484K. Also updated the DK statistics page with data until 19 May: covid19genomics.dk/statistic…
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Weekly @GISAID upload from #DCGC: ~5300 sequences, with some interesting ones including one P.1, one B.1.351, and four B.1.525. @aauengineering @SSI_dk
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So happy to resume the weekly @GISAID upload of DK covid19 sequences from #DCGC! 🙌Some ~36,000 sequences, covering the backlog since early March historical sequences from late 2020.
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Besides a ton of B.1.1.7 it includes ~500 B.1.525, ~80 B.1.351, and a handful P.1
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