Vijini Mallawaarachchi

The paper shows bacterial strain identity is the main factor determining phage infectivity in Achromobacter, with lineage and strain identity explaining 90% of variation in infection efficiency.

The paper predicts homooligomeric phage protein structures using a computational framework, confirming predictions for dimers and trimers and showing high accuracy in classifying homooligomeric states.

piqtree provides a Python interface to IQ-TREE for phylogenetic inference, offering seamless integration with Python tools and workflows.

agtools provides a Python framework to manipulate assembly graphs across formats, enabling analysis and integration into bioinformatics workflows.

Phold pairs ProstT5-predicted 3Di tokens with Foldseek searches against 1,363,704 curated phage structures, annotating 49.4% of CDS in 1,419 INPHARED genomes versus 34.7% for Pharokka MMseqs2.

Phynteny combines ESM2 protein embeddings, a BiLSTM, and circular-attention transformer layers to exploit phage gene order, assigning one of nine PHROG functional categories to unannotated genes.

Sphae is a bioinformatics pipeline that rapidly assesses phage therapeutic potential by analyzing genomic markers for safety and efficacy in under ten minutes.

Hybracter improves bacterial genome assembly accuracy and speed, outperforming existing tools in hybrid and long-read-only modes, especially for small plasmids.

The paper introduces ConDiGA, a pipeline for constructing accurate protein sequence databases from metagenomic data to improve metaproteomics analysis, achieving deep coverage in synthetic and real microbiota samples.

Phables improves phage genome recovery from fragmented viral metagenome assemblies, recovering more high-quality genomes and resolving variants with high nucleotide identity.

This study isolates and characterizes three novel Crassvirales phages infecting Bacteroides cellulosilyticus WH2, revealing they do not co-evolve with their hosts and share a conserved tail spike protein involved in host interaction.

MetaCoAG improves metagenomic binning by using assembly graphs, composition, and coverage, achieving higher quality bins than existing tools.

This paper introduces an alignment-free genetic distance calculation method using locality sensitive hashing to efficiently compare DNA sequences across species.