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  • NBIS & Uppsala University
  • Uppsala

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RedondoMA/README.md

Welcome! 👋 I'm Miguel A. Redondo, a Bioinformatician at NBIS, Sweden

Hello! As a member of the Evolution and Biodiversity team at the National Bioinformatics Infrastructure Sweden (NBIS), I analyze data for researchers benefiting from our long-term support and share my knowledge as a teacher in programming and statistics courses.

With a PhD in microbial ecology, my data analysis journey started with studies of ecological communities. I currently use machine and deep learning techniques—including, but not limited to, random forests, regularized regressions, neural networks, and convolutional neural networks—to decipher the complexities of biological data.

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  1. trait_hypervolume_test trait_hypervolume_test Public

    Function to compare an observed trait hypervolume at a site to that of a random subset of species from the dataset. It uses the db_FD function from the FD package (Laliberté & Legendre, 2010, ECOLO…

    R

  2. AOA_gene_predictions AOA_gene_predictions Public

    R

  3. Training-Tech-shorts Training-Tech-shorts Public

    Forked from NBISweden/Training-Tech-shorts

    Short lessons, training various technologies useful to our work.

    TeX

  4. test_gitpod test_gitpod Public

  5. ProGen2-finetuning ProGen2-finetuning Public

    Forked from hugohrban/ProGen2-finetuning

    Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.

    Python

  6. progen progen Public

    Forked from salesforce/progen

    Official release of the ProGen models

    Python