JA
Jose Juan Almagro Armenteros
Stanford University, University of Copenhagen, DTU Institut for Systembiologi
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Machine Learning in Bioinformatics · Protein Structure and Dynamics · Genomics and Phylogenetic Studies
0000-0003-0111-1362
Employment
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Stanford University Postdoc2022 - Present
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University of Copenhagen Postdoc2020 - 2021
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DTU Institut for Systembiologi2016 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2 Save
- Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models, with PathogenFinder2 Save
- SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects Save
- Mapping single-cell developmental potential in health and disease with interpretable deep learning Save
- GraphPart: Homology partitioning for biological sequence analysis Save
- Temporal dynamics of the multi-omic response to endurance exercise training across tissues Save
- SignalP 6.0 predicts all five types of signal peptides using protein language models Save
- DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Save
- DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks Save
- NetSolP: predicting protein solubility in Escherichia coli using language models Save
- Spectrum of Protein Location in Proteomes Captures Evolutionary Relationship Between Species Save
- Improved metagenome binning and assembly using deep variational autoencoders Save
- Deep protein representations enable recombinant protein expression prediction Save
- Prediction of GPI-anchored proteins with pointer neural networks Save
- Language modelling for biological sequences – curated datasets and baselines Save
- Similar genomic patterns of clinical infective endocarditis and oral isolates of Streptococcus sanguinis and Streptococcus gordonii Save
- Detecting sequence signals in targeting peptides using deep learning Save
- SignalP 5.0 improves signal peptide predictions using deep neural networks Save
- DeepLoc: prediction of protein subcellular localization using deep learning Save
- An introduction to deep learning on biological sequence data: examples and solutions Save