Sandeep Kaur

This paper develops a multilevel HierCC typing scheme for global C. jejuni AMR surveillance and epidemiology, identifying resistant clusters and host-specific patterns.

This study investigates how visuo-spatial attention and semantic memory interact in the brain using fMRI, finding that the anterior insula integrates these networks during combined tasks.

The paper analyzes antimicrobial resistance in Salmonella Typhimurium using genomic data to identify resistant strains and their geographic and host associations.

This study develops a multilevel genome typing (MGT) scheme for Staphylococcus aureus to characterize genomic epidemiology at various scales using 50,481 genomes.

This study uses multilevel genome typing to analyze Australian Salmonella Enteritidis isolates, finding strong epidemiological links to Asian strains and a local outbreak linked to European isolates.

MGTdb provides a web service for assigning and analyzing multilevel genome types of bacterial isolates, supporting epidemiological studies of Salmonella and Vibrio species.

The paper presents a streamlined system for integrating 3D protein structures into variant analysis, enabling easy variant specification and access to structural insights.

This study develops a multilevel genome typing method for Salmonella Enteritidis and analyzes 26,670 genomes to reveal global and local genomic epidemiology, including multidrug resistance and outbreak patterns.

The paper generates 872 structural models of SARS-CoV-2 proteins and creates a structural coverage map to help researchers understand viral mechanisms and immune disruption.

The paper introduces a method to infer temporal ordering of omics events from time series data with higher resolution than the experiment, using event maps and sparklines for visualization.