Helena Reyes Gopar

@hamarillo.bsky.social

Researching human endogenous retroviruses using sc sequencing data 🏊🏼‍♀️ 👩🏻‍💻 🇲🇽 LCG UNAM alumna 🧬

Every single regulatory grade monitor in the Chicago area is recording over 400 µg/m³ of PM2.5 smoke pollution. This is so far beyond anything in the historical record it’s difficult to communicate how extreme this event really is

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"I first heard the term open science in the early 2000s, but it was really something many of us were doing well before that. When you work on methods, they're only really successful if someone else uses them” ---Steven Henikoff

I used a spaghetti and glue to represent this for a high school assignment once. Truly iconic.

Helen Branswell 🇨🇦@helenbranswell.bsky.social · last mo.

Have you ever seen this iconic image of the Ebola virus, from the first known outbreak in DRC in 1976? An electron microscopic image, it was captured by #CDC 's Fred Murphy, a virological giant and a very kind interviewee. He died yesterday. He will be missed, but his scientific legacy lives on.

Reptiles with longer Wikipedia pages tend to be bigger. The relationship is a power law with exponent = 0.85. I guess humans really like writing about big lizards? The longest article is the Komodo Dragon.

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Why aren’t language models acting/interacting like a graph? (Or are they? Idk). It seems so obvious that while human conversations are iterative, they’re nonlinear and that’s how you get to the point/good stuff

The strongest argument I keep hearing for AI is that it makes many admin tasks and paperwork easy. This basically rephrases what many have been saying for decades - there is a vast and unnecessary administrative bloat mandated by “business best practice” that needs to vanish.

Yesterday I attended Harin’s excellent defense where he talked about this study, which is a great reason to give it another shoutout. Does population size affect the diversity of the music that people listen to? Really nice example how to make use of a DAG in practice!

On the left, two DAGs showing associations between population size (the exposure) and between- (BID) or within- (WID) individual diversity and various third variables. On the right the estimated associations/effects. Without adjustment, diversity very strongly increases with population size. With adjustment, some of the increase disappears; in particular when moving from medium to large population sizes.
Harin Lee@harinlee.info · last yr.

Big cities are vibrant hubs of culture, but why exactly is that? Now out in @natcomms.nature.com, we analysed music listening patterns of over 2.5 million people and demographics to examine mechanisms driving cultural diversity. With @researchdeezer.bsky.social @norijacoby.bsky.social Highlights ⬇

do you ever stare at the ceiling and think about how the worldwide scientific establishment did the impossible and created a COVID vaccine in under a year and the response of the general public has been to go on an unstoppable rampage to destroy science and scientists

Sad news: The dataset behind this famous chart on the decline in costs of genome sequencing has had its NIH funding cut. I loved this chart because it was the first that made me appreciate the impact of dataviz. But it also tracked progress towards an ambitious goal ($1000 genome) that succeeded.

NHGRI (at NIH)'s chart on the declining cost of sequencing a human genome from 2001 to 2021, falling faster than Moore's law. The "$1,000 genome" catchphrase was first publicly recorded in December 2001 at a scientific retreat to discuss the future of biomedical research following publication of the first draft of the Human Genome Project (HGP), convened by the National Human Genome Research Institute at Airlie House in Virginia.[5] The phrase neatly highlighted the chasm between the actual cost of the Human Genome Project, estimated at $2.7 billion over a decade, and the benchmark for routine, affordable personal genome sequencing.

On 2 October 2002, Craig Venter introduced the opening session of GSAC (The Genome Sequencing and Analysis Conference) at the Hynes Convention Center in Boston: "The Future of Sequencing: Advancing Towards the $1,000 Genome." Speakers included George M. Church and executives from 454 Life Sciences, Solexa, U.S. Genomics, VisiGen and Amersham plc.[6][7] In 2003, Venter announced that his foundation would earmark $500,000 for a breakthrough leading to the $1,000 genome.[8] That sum was subsequently rolled into the Archon X Prize.

In October 2004, NHGRI introduced the first in a series of '$1,000 Genome' grants designed to advance "the development of breakthrough technologies that will enable a human-sized genome to be sequenced for $1,000 or less."[9]

Been horrifying teammates by referring to undocumented information that's held only in people's heads as "locked in meat storage". Please use this with your teams/projects and report back on how they like it?