William L. Hamilton

COVID-19 vaccination induces cross-neutralisation of sarbecoviruses related to SARS-CoV-2

This study assesses cross-neutralisation of sarbecoviruses by COVID-19 vaccines in older adults, finding reduced neutralisation of Omicron variants and some animal sarbecoviruses but enhanced neutralisation of specific bat and pangolin coronaviruses.

Variable rates of SARS-CoV-2 evolution in chronic infections

This study analyzes within-host SARS-CoV-2 evolution in chronic infections, finding variable rates of evolution and evidence of subpopulation structure.

A complex Plasmodium falciparum cryptotype circulating at low frequency across the African continent

The paper identifies a cryptotype in Plasmodium falciparum genomes across Africa, characterized by a complex genetic background that is geographically widespread but genetically distinct.

Nanopore sequencing for real-time genomic surveillance of Plasmodium falciparum

This study implements a Nanopore sequencing workflow for P. falciparum genomic surveillance in Ghana, identifying drug resistance patterns and vaccine antigen variations.

Integrated pretraining with evolutionary information to improve RNA secondary structure prediction

The paper improves RNA secondary structure prediction by integrating evolutionary information through pretraining and a scalable neural architecture, achieving better performance on various benchmarks.

Augmented base pairing networks encode RNA-small molecule binding preferences.

RNAmigos predicts small molecule ligands for RNA binding sites using augmented base pairing networks, showing improved performance over baselines and highlighting the importance of non-canonical base pairs.

Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions

This study introduces RPI-Net, a graph neural network for predicting RNA-protein interactions, showing improved performance and addressing sequence bias in CLIP-Seq data.

Whole genome sequencing of Plasmodium falciparum from dried blood spots using selective whole genome amplification

This paper develops a method to sequence Plasmodium falciparum genomes from dried blood spots using selective whole genome amplification, achieving high concordance with venous blood samples.