Susana G. Campino

The paper analyzes whole genome data from Plasmodium falciparum isolates in Ethiopia to identify adaptive trajectories of antimalarial resistance evolution.

The paper develops a rules-based classifier to predict ciprofloxacin resistance in Klebsiella pneumoniae from genotype data and demonstrates its global distribution association with quinolone consumption.

The paper presents the first chromosome-scale genome assembly for Dermacentor reticulatus, revealing a repeat-rich genome and providing insights into its phylogenetic placement and functional genomics.

This paper introduces PfPan, a P. falciparum pangenome that improves structural variant detection and aids malaria control by identifying drug resistance and diagnostic evasion variants.

This study analyzes genomic diversity of Plasmodium vivax in Vietnam, finding decreasing infection complexity, increasing clonal inbreeding, and stable drug resistance allele frequencies over a 10-year period.

This study compares gametocyte production and transmission fitness of ART-sensitive and ART-resistant P. falciparum isolates across multiple mosquito species.

TOAST optimises amplicon design for tuberculosis genomic studies, enabling high-throughput sequencing of drug resistance mutations across multiple platforms.

This paper reclassifies SHV β-lactamase alleles in K. pneumoniae genomes based on mutations, improving genotype-phenotype understanding and updating the Kleborate tool.

The paper analyzes genetic diversity in four insecticide resistance genes of Aedes aegypti across global populations to identify mutations and copy number variations associated with insecticide resistance.

This study validates the use of environmental DNA (eDNA) for detecting and characterizing Anopheles stephensi and Aedes aegypti mosquitoes from larval breeding sites using multiplex TaqMan assays and amplicon-sequencing panels.

The paper develops a method to generate comprehensive genome sequences of Plasmodium knowlesi from clinical isolates and provides insights into the evolution of gene families associated with antigenic variation.

The paper develops an online immuno-analytics tool to analyze SARS-CoV-2 genetic and immunological data, identifying mutation trends and potential diagnostic targets.

The paper introduces Corticall, a graph-based method to detect de novo mutations using short-read and long-read data, validated on Plasmodium falciparum crosses.

This paper develops a multiplex qPCR assay to detect Plasmodium falciparum and identify pfhrp2 and pfhrp3 deletions in field samples with high sensitivity and specificity.

The paper analyzes global SARS-CoV-2 whole genome sequences to identify strain diversification and selective pressures, finding two major clades and potential mutations affecting diagnostics and vaccine efficacy.