Alessandro Alvaro

University of Milan

Italy

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Articles (10)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

In this work, we describe hypervariable-locus melting typing (HLMT), a novel fast approach to pathogen typing using the high-resolution melting (HRM) assay. The method includes a novel approach for gene target selection, primer design, and HRM data analysis.

Year:

2022

Collaborators (6)

Riccardo Nodari

University of Milan

ITALY

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Paolo Gabrieli

Professore Associato

University of Milan

ITALY

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SARA EPIS

Associate Professor of Parasitology

Università di Milano

ITALY

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Francesco Comandatore

Università di Milano

ITALY

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Federico Fama

University of Milan

ITALY

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Domenico Otranto

Associate Professor of Veterinary Parasitology

Università degli Studi di Bari

ITALY

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Alessandro Alvaro

Research Interests

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Articles (10)

Sand Fly Fauna and Prevalence of Leishmania spp. in a Newly Investigated Area of Northern Italy: Emerging Epidemiological Scenarios?

Uninvited guests: flesh fly maggots as accidental parasites in the intestines of a common wall lizard

Cultivation and sequencing-free protocol for Serratia marcescens detection and typing

A Case of Myiasis Caused by Cordylobia anthropophaga (Diptera: Calliphoridae) in an Italian Traveler Returning from Senegal

Spauligodon orobicus sp. nov. (Oxyurida: Pharyngodonidae) a parasite infecting the common wall lizard, Podarcis muralis (Laurenti, 1768) in northern Italy

Leishmania tarentolae: a vaccine platform to target dendritic cells and a surrogate pathogen for next generation vaccine research in leishmaniases and viral infections

Biotics in pediatrics: a short overview

Gut Microbiota Signature in Atopics Dermatitis: Experience gained at the “L. Sacco” University Hospital, in Milan, Italy

The red thread between methylation and mutation in bacterial antibiotic resistance: How third-generation sequencing can help to unravel this relationship

Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs

Collaborators (6)

Riccardo Nodari

Paolo Gabrieli

SARA EPIS

Francesco Comandatore

Federico Fama

Domenico Otranto

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