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Phold annotates bacteriophage genomes and metagenomes using protein structural homology. Its README describes translating protein sequences to Foldseek’s 3Di alphabet with ProstT5 before searching protein structures. Phold

The three-month fellowship develops and deploys AI systems for life-science applications, with mentorship, a VND 11 million monthly full-time allowance and approximately US$15,000 per month in computing resources. Fellows can work in Ho Chi

PhaMer is a Python library that identifies bacteriophages in metagenomic data using a Transformer model and protein-based vocabulary. The repository says development moved to PhaBOX 2 and that this folder will no longer be maintained. PhaMe

PhageBench contains 5,600 samples across phage screening, quality control and phenotype annotation tasks. Its evaluation found stronger-than-random performance on some tasks and limitations in complex sequence reasoning. ACL Anthology

PAR-25-228 supported investigator-initiated innovation in computational genomics and data science through the R01 mechanism, with clinical trials not allowed. The official grant record lists September 4, 2026 as its closing date. NIH

Temiloluwa Akintade and Bello Abdul Hakeem presented genome annotation and characterization of Arthrobacter phage AnnabelLee at NISPET-Ibadan 2026 at the University of Ibadan. The work combined automated annotation with manual curation usin

PBI-Scope v0.5.0 adds PhageScope GFF3 information to the pbi package. PBI-Scope GitHub release v0.5.0

PhageHostLearn provides pairwise machine-learning models for phage–host interaction prediction, with code for training models, reproducing the study, or making new predictions. PhageHostLearn

The paper introduces PhageDPO, a machine-learning tool available in Galaxy for identifying depolymerases in phage and prophage genomes. The authors say the source code is on GitHub. Computers in Biology and Medicine article

CNPq’s call 24/2026 supported biotechnology across human health, agriculture, industry, environment and energy. Its bioinformatics line included omics, modelling, biological databases and applied AI, with R$500,000–R$5 million per project i

Beyond AI invited University of Tokyo research groups to use NVIDIA DGX SuperPOD resources and seek project research support. The call was restricted to university-employed faculty and researchers and closed on January 20, 2025 at 6pm. Beyo