Anna G. Green (@AnnaGGre) profile picture

https://nitter.gq/t.co/AegVWdOiDk

Joined February 2014
Photo by Anna G. Green (@AnnaGGre)Photo by Anna G. Green (@AnnaGGre)Photo by Anna G. Green (@AnnaGGre)
I am so thrilled to announce that I am starting as an Assistant Professor this fall at UMass Amherst CICS @manningcics. Our research group will build and apply computational models for bacterial genomics, focused on antibiotic resistance and machine learning. Recruiting soon!
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Anna G. Green retweeted
Can protein LMs reveal scientific knowledge? We start by asking how pLMs turn sequences into structure signals. We map a contact prediction circuit: early motif features gate later domain features. Spurious or science? We can now test. 🧵(1 of N)
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Eli is one of the most talented scientists I have ever met. Whoever his future colleagues are, they are a lucky bunch.
I am on the academic job market this year! My research advances probabilistic machine learning and its application to biology. I'm looking for faculty positions in stats/CS/applied math and in bio departments. Academic website: eweinstein.github.io/
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Anna G. Green retweeted
Replying to @manningcics
@manningcics at @UMassAmherst is planning to hire two tenure-track faculty in #NLProc at Assistant / Associate Professor levels. Job posting: careers.umass.edu/amherst/en… Applications are due on Dec. 1st. If you have any questions, please feel free to reach out! Please RT!
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Excited to attend!
Join us for the AI for Genomics and Health Conference, the 2024 @Harvard PQG Conference, to discuss advances of AI in translational medicine and health hsph.harvard.edu/pqg-confere… Fantastic co-organizers @james_y_zou @elhamazizi @XihongLin @jmuiuc @BoWang87 K Vogan @HarvardChanSPH @harvardmed @HarvardDBMI @KempnerInst @harvard_data @broadinstitute
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The 2025 Hertz Fellowship application is open! In addition to 5 years of funding, Hertz Fellows join a community of peers, including some of the nation’s most noted #science & #technology leaders. Start your application today! hertzfoundation.org/the-fell…
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Super happy that our recent paper on bloodstream Klebsiella is featured in @NatureComms Editors' Highlights in Microbiology and Infectious Diseases nature.com/collections/jedgc…
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Anna G. Green retweeted
Introducing the 😱OMG dataset and 🤖gLM2! OMG is a massive Open MetaGenomic corpus totaling 3.1Tbp of data and 3.3B proteins. We train gLM2, the first mixed-modality genomic language model, on OMG. 1/🧵 #BioML #AI4Science
We are thrilled to make the OMG dataset and gLM2 models available for the research community! Check out our latest preprint at tatta.bio/omg (BioRxiv link coming soon)
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Happy to announce PneumoBrowse 2! Access it here: pneumobrowse2.veeninglab.com… and read the preprint here: biorxiv.org/content/10.1101/…
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Anna G. Green retweeted
Does composting spread antibiotic resistance? Researchers found that the release and transmission of extracellular antibiotic resistant genes (ARGs) during cow manure composting is facilitated by heat and the lysis of bacteria by phages. asm.social/20u @AppEnvMicro
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The MLSB 2024 call for papers is live at mlsb.io ! New this year: we're excited to use MLSB to highlight importance of benchmarks. We'll have 2 tracks for models evaluated on pinder.sh / plinder.sh from @vant_ai @nvidia @MIT_CSAIL !
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Great review about the "AlphaFold Mania" 🔥: - structure prediction - remote homology relationships - molecular replacement - Interactomes - variant effect predictor - conformational sampling - and much more AlphaFold two years on - validation and impact arxiv.org/abs/2403.02124
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Anna G. Green retweeted
Accurate prediction of protein function using statistics-informed graph networks | @NatureComms - PhiGnet, uses evolutionary couplings (EVCs) and residue communities (RCs) with Dual-Channel Graph Convolutional Networks. Embed sequences via ESM-1b - Use Grad-CAM method computes activation scores for functional residues Interpretability Link: nature.com/articles/s41467-0…
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very cool work showing that different TB lineages are adapted to different human populations, congrats @iMGroschel and @MahaFarhat
Which Strains of Tuberculosis Are the Most Infectious? New research from DBMI's @MahaFarhat and @iMGroschel in @NatureMicrobiol shows shared geographic origin between TB strain and human host could amplify risk for infection. Story via @harvardmed. hms.harvard.edu/news/which-s…
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Anna G. Green retweeted
Today we’re excited to freely share an early-version of, perhaps, the world’s most expansive genetics dataset: Logan. #bioinformatics #petabase #genetics #genomics #openscience biorxiv.org/content/10.1101/…
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Anna G. Green retweeted
It's great to see more work being done on *contextualizing* protein embeddings with genomic context information! Check out this new viral gLM work by @pCodyM et al!🎉
Our Protein Set Transformer preprint is now on bioRxiv. Read on to see what we mean by a protein-based genome language model. Work led by @pCodyM and @KarthikGeomicro. 1/
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Anna G. Green retweeted
List of Papers using Deep Learning for Protein Design (by @PeldomZ ) github.com/Peldom/papers_for…
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Anna G. Green retweeted
It's true, cleaned up my bench today after a memorable 6.5 years in the @baym lab! Very excited to start my own lab next month at the @HealthNYGov Wadsworth Center doing public health adjacent basic research exploring "exotic" bacteriophages!! #newpi
Today we celebrated @implosian’s last day in my lab before she starts her independent lab at the Wadsworth Center. I could not have dreamt up a better postdoc to start the experimental side of the lab!
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