Danny Park @dannyjpark.bsky.social

348 posts

Danny Park @dannyjpark.bsky.social

Danny Park @dannyjpark.bsky.social

@DannyJPark

I use genomics to study the evolution and spread of human pathogens and lead pathogen analytics at the Broad. @[email protected] @dannyjpark.bsky.social

Cambridge, MA, USA Katılım Mayıs 2013
444 Takip Edilen1K Takipçiler
Danny Park @dannyjpark.bsky.social retweetledi
Christin H.
Christin H.@chanigan·
Just wrapped up meetings with @CDC_AMD state public health and academic partners doing awesome work in pathogen genomic sequencing and bioinformatics! So much awesome work being done and so much more for us to do! @APHL
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Danny Park @dannyjpark.bsky.social
@DSI_Africa events this week are well covered on the Twittersphere. But who shall carry the burden of tooting this meeting to the federated mastodonverse? I, @dpark@mstdn.science, I shall take up my phone and live toot! Follow me, and we shall bring science fomo to your feed!
Cape Town, South Africa 🇿🇦 English
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Danny Park @dannyjpark.bsky.social retweetledi
Brian Nosek (@briannosek@nerdculture.de)
Everyone moving from twitter to mastodon is very likely to fail because it is a collective action problem, benefits depend on others actions. Here's how it can succeed. It will require your commitment for 1 month to do a few things. Read and retweet if you commit to do them.
Brian Nosek (@[email protected])@BrianNosek

Even if the Mastodon migration only affects #academictwitter, it could be a great success. Social media is like the local pub. The food quality is irrelevant. As long as the people I want to talk to and hear from are there, I'm happy. I'm at: @briannosek" target="_blank" rel="nofollow noopener">nerdculture.de/web/@briannosek

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Duncan MacCannell
Duncan MacCannell@dmaccannell·
This is really cool. Frustrates me when discourse around pathogen sequence data sharing becomes polarized and limits our ability to talk objectively about how protocols, standards and tooling from human genomics could be adapted to balance openness with access/usage permissions.
Melanie Courtot @[email protected]@mcourtot

Reuse of @GA4GH standards in yet another project - Valentina di Francesco on how @NIH Cloud Platform Interoperability leverages work from the data use and researcher ID workstream @nyronen @Doc_JmGAuvil through Passport and DUO #ga4gh10thplenary

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Danny Park @dannyjpark.bsky.social
It took me seven episodes to realize that the song actually had lyrics, and the lyrics were his name. FETT! Boba boba boom, boba boba boba FETT!
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Danny Park @dannyjpark.bsky.social
It's worth saying that much of the lab techniques and practices in our viral genomics lab were strongly shaped by Adrianne over the past decade. Plus I love that my kids get to see her videos every time we visit the Museum of Science.
Pardis Sabeti@PardisSabeti

For 8 years Adrianne Gladden-Young elevated @sabeti_lab viral genomics and inspired us all. Here is a brief history celebrating the brilliant mind & powerful voice of @agladdenyoung #BlackHistoryMonth 1/16

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Danny Park @dannyjpark.bsky.social retweetledi
ACEGID
ACEGID@acegid_igh·
Hearty congratulations to the duo of Idowu Olawoye @idowuolawoye & Paul Oluniyi @pauloluniyi for their successful post-field seminar (internal defense) yesterday. #Bioinformatics #PhD
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Danny Park @dannyjpark.bsky.social retweetledi
Russ Corbett
Russ Corbett@RussCorbett·
I am very pleased to see this analysis posted (+preprint soon!). With tons of fantastic collaborators, @TheSchneiderPhD and @mishmash_su show that pango lineage assignment with pUShER is more stable than pangoLEARN.
Adriano Schneider, Ph.D. 🇧🇷🇮🇹🇺🇲@TheSchneiderPhD

SARS-CoV-2 lineage assignment is more stable with UShER More here: virological.org/t/sars-cov-2-l… #bioinformatics #computationalbiology #SARSCoV2 #COVID19 @ucscgenomics @RussCorbett

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Danny Park @dannyjpark.bsky.social
@drensber I think folks paying attention were not surprised that it would be quick. I think we were still a bit surprised to see it come even faster than we thought. Once we saw the 8% day, we knew there were only a couple days left.
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Dave Rensberger @daverensberger.bsky.social
@DannyJPark Thanks. I keep hearing about how "the experts were caught off guard" by Omicron's immediate and rapid rise. I'm not really sure what that means, but it sounds like people who actually specialize in analyzing the data weren't surprised at all.
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Danny Park @dannyjpark.bsky.social
The CDC predicts we are already majority omicron in the US based on its nowcast projection from genomic surveillance data from earlier this month. These models are great: it's essential to make decisions based on now & future, not a snapshot 2 weeks ago. #variant-proportions" target="_blank" rel="nofollow noopener">covid.cdc.gov/covid-data-tra…
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Dave Rensberger @daverensberger.bsky.social
@DannyJPark So... I'm a little confused here: Was the "MA is at 50% Omicron" that we saw in the headlines yesterday based on prediction models or actual lab results? If the answer is "actual lab results", that would mean we really hit 50% a week ago.
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Danny Park @dannyjpark.bsky.social
@CurtisKapsak We've seen enough of these to know not to make promises about the future! But if only everyone would apply their critical updates and sanitize their inputs properly with an N95 or better, maybe we won't have to deal with the next exploit!
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Danny Park @dannyjpark.bsky.social
The blue line will soon fill the gap and probably confirm/overlap the red lines, but the value of a rapid glimpse at current trends (especially real measurements, not extrapolated) cannot be overstated. And the inflection point is brief--if you miss a week, it's already over!
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Danny Park @dannyjpark.bsky.social
At the request of @MassDPH, @NicoleLWelch & team applied this assay to >1400 recent clinical specimens from the Broad testing catchment to report this picture. The blue line is all the sequencing data we finished this weekend. The red line she just painted over the past two days.
Danny Park @dannyjpark.bsky.social tweet media
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