Joined September 2011
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17,000 children. 7+ cohorts. What does the early childhood microbiome tell us about neurodevelopment?
Part of @WellcomeLeap's $50M FORM program — building AI diagnostics for autism families.
Hiring: #Bioinformatics Engineer + AI/ML Scientist
→ gutztechnologies.com/careers
Jamie Morton retweeted
The scikit-bio team has modernized and significantly accelerated the MMvec (Microbe-Metabolite Vectors) method for multiomics co-occurrence and embedding, originally developed by @jamietmorton et al. Now 100x faster and no GPU required. scikit.bio/docs/dev/generate… #Bioinformatics
Jamie Morton retweeted
📣 Excited to share that the preprint of our research paper is now available on bioRxiv
Very grateful to @zhuqiyun and @jamietmorton for their mentorship throughout the last 1.5 years on this project, and to my collaborators @_paarthb and Valentyn Bezshapkin, without whom this work would not have come this far
ALT Figure showing the architecture of TMVec-2 and TMVec-2 Student Model.
Introducing TM-Vec 2 and 2s -- protein language models for fast, accurate remote homology detection. Predict structural similarity from sequence alone. Major speedup, high accuracy, runs on regular hardware. Suited for proteome-scale datasets. #DeepLearning #bioinformatics
Jamie Morton retweeted
Lab-in-the-loop therapeutic antibody design
At @PrescientDesign @genentech we have spent 3+ years reimagining drug discovery. We built a machine learning system to design and execute experiments. Here's how it works and what we can do 🧵
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Jamie Morton retweeted
The #bileacid mania continues! Our lab was lucky to help with this fantastic paper by Frank Schroeder and David Artis et al. published in @Nature. Describes another group of bile acids with significant impacts on human physiology. @Qifenxing @DVGmicrobe
rdcu.be/d5DBN
Jamie Morton retweeted
Looking to recruit a lab research coordinator employment.ucsd.edu/research…
Jamie Morton retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
Jamie Morton retweeted
Preprint on "BWT construction and search at the terabase scale". We can compress 100 human genomes to 11GB in 21 hours, find SMEMs with it, do affine-gap alignment and retrieve similar local haplotypes. 7.3Tb commonly sequenced bacterial genomes ⇒ 30GB arxiv.org/abs/2409.00613
Jamie Morton retweeted
We uploaded a v2 of our book draft "The Elements of Differentiable Programming" with many improvements (~70 pages of new content) and a new chapter on differentiable data structures (lists and dictionaries). arxiv.org/abs/2403.14606
Feel free to check out our protein language models tutorials and learn how to annotate protein functions where protein structure prediction struggles
Thrilled to have organized an amazing @scikitbio tutorial at #ISMB2024! Thanks to @jamietmorton, Matt, @valentynbez, @hsecairam, and all who attended and engaged! Tutorial materials are available at: twtr.to/eErkG. Let's push the boundaries of #OpenScience together!
Jamie Morton retweeted
Thrilled to have organized an amazing @scikitbio tutorial at #ISMB2024! Thanks to @jamietmorton, Matt, @valentynbez, @hsecairam, and all who attended and engaged! Tutorial materials are available at: twtr.to/eErkG. Let's push the boundaries of #OpenScience together!
Jamie Morton retweeted
OPEN CALLS #postdoc
Are you comfortable with analysis of large-scale #microbiome data? Do a #postdoc with us as part of the @CoDietEU project with focus on non-communicable diseases.
For any Q feel free to contact @nsegata
Deadline: June 17, 2024
lavoraconnoi.unitn.it/assegn…
Jamie Morton retweeted
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/go…
KANs deserve careful investigation — since they have the potential to outperform standard NNs in accuracy, model size and interpretability.
arxiv.org/pdf/2404.19756
This is a unique opportunity to work on real-time sequencing analysis with their incoming smart toilet.
Alright everyone, it's happening @BiomeSense is looking for another bioinformatician. Want to come work with an amazing team of scientists and engineers? Message me: yoshiki AT biomesense.com
Jamie Morton retweeted
Alright everyone, it's happening @BiomeSense is looking for another bioinformatician. Want to come work with an amazing team of scientists and engineers? Message me: yoshiki AT biomesense.com
