Javier Mendoza-Revilla

@JavierMenRev

Computational Geneticist @instadeepai and adjunct lecturer at @CayetanoHeredia. Previously at @UGI_at_UCL🇬🇧 and @institutpasteur🇫🇷. Views my own.

Paris, France github.com/JavierM88 Joined February 2013

622 Following 757 Followers 570 Posts

Latest posts 5

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Javier Mendoza-Revilla @JavierMenRev Apr 20, 2022

Our study with @g_hellenthal on detecting adaptive signals before and after European contact in #admixed Latin Americans is finally out in @MolBioEvol
academic.oup.com/mbe/advance-ar…

academic.oup.com Disentangling Signatures of Selection Before and After European Colonization in Latin Americans Abstract. Throughout human evolutionary history, large-scale migrations have led to intermixing (i.e., admixture) between previously separated human groups

Javier Mendoza-Revilla @JavierMenRev Jul 10, 2024

Our work on the development of a #DNA Large Language Model trained on genomes from various plants, #AgroNT, is now published in @CommsBio
nature.com/articles/s4200…

www.nature.com A foundational large language model for edible plant genomes Communications Biology - A DNA-based large language model, AgroNT, trained on multiple plant genomes, can accurately predict various molecular phenotypes within plant species, including important...

Javier Mendoza-Revilla @JavierMenRev Dec 6, 2023

I am very interested to know what other population and statistical #geneticists think about this.

Orchid - Have Healthy Babies @OrchidInc Dec 5, 2023

We’re excited to announce the first whole genome screening for embryos is available!

Parents can get 100x more data about their embryos’ genomes, empowering them to make an informed decision and give their baby the best chance at a healthy start.

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Javier Mendoza-Revilla @JavierMenRev Nov 15, 2023

Great review highlighting both the strengths and limitations of transformers and other #LLMs for #genomics 🧬

Bo Wang Verified account @BoWang87 Nov 15, 2023

Interested in LLMs for genomic research but don't know where to start? looking for a review/survey to get started in this field? 👇👇😀

I am very excited to share that our review paper titled "To Transformers and Beyond: Large Language Models for the Genome" is now available as a preprint (arxiv.org/abs/2311.07621)! Our review unveils a revolution in genomics analysis with Genome LLMs. 🧬

🔍 What's Inside:
✅ The power & challenges of transformers in genomics.

✅ Cutting-edge models like HeynaDNA and scGPT & their impact.

✅ Deep dives into Enformer, DNABERT, and other Genome LLMs.

🌍 Why it Matters:
1. GPT-4's influence reshapes AI in genomics.
Unmatched insights into transformers' role in genomics.

2. Critical analysis of new models, addressing interpretability, privacy, & computational needs.

3. Essential for computational biologists & computer scientists to navigate the future of genomic data analysis.

This is a work led by the amazing PhD student, Mica Consens, in the lab! Also, a huge collaborative work with lots of field leaders @fabian_theis @genophoria @MKarimzade @michaelwainberg and Alan Moses!

@UofT @VectorInst @UofTCompSci @UofT_LMP @UHN @pmcc_ai @UHNAIHUB

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Javier Mendoza-Revilla @JavierMenRev Oct 31, 2023

I'm happy to share our latest work, the development of a #DNA Large Language Model trained on genomes from various plants, with a focus of crops. Our model achieves accurate predictions across many genomic tasks and is also capable of zero-shot prediction:
biorxiv.org/content/10.110…

www.biorxiv.org A Foundational Large Language Model for Edible Plant Genomes In recent years, significant progress has been made in the field of plant genomics, demonstrated by the increased use of high-throughput methodologies that allow for the characterization of multiple...