Hsin-Ying Chang

Machine learning prediction of eukaryotic hosts for giant viruses

This study develops GVHoP, a machine learning tool that predicts eukaryotic hosts for giant viruses using genomic data, achieving high accuracy and revealing novel host associations across environments.

Comparative genomic analysis of a novel heat-tolerant and euryhaline strain of unicellular marine cyanobacterium Cyanobacterium sp. DS4 from a high-temperature lagoon

The paper reports the genome of a heat-tolerant and euryhaline cyanobacterium, identifies its genomic features, and compares it to related strains to understand its adaptation mechanisms.

Population genomics of a thermophilic cyanobacterium revealed divergence at subspecies level and possible adaptation genes

The paper analyzes the population genomics of Thermosynechococcus taiwanensis, identifying two divergent populations and potential adaptation genes.