Andre Goncalves
Post Doctoral Research Associate In Computational Biology
MAIN INTERESTING
Andre Goncalves has been working on systems biology/immunology to understand better infectious diseases, such as Yellow Fever, CHIKV, ZIKA, and, more recently, Pneumonia. Andre has acquired wet and dry lab alongside master's and PhD education. His main interest is to apply up-dated omics tools, machine learning and integrative analysis to answer biological questions.
Recent publications
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Inflammation of the nasal mucosa is associated with susceptibility to experimental pneumococcal challenge in older adults.
Journal article
Urban BC. et al, (2024), Mucosal Immunol, 17, 973 - 989
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RSV and Rhinovirus asymptomatic upper airway infection increases pneumococcal carriage acquisition rates and density in adults whereas nasal inflammation is associated with bacterial shedding
Preprint
Mitsi E. et al, (2024)
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Cellular and Transcriptional Signature of the Nasal Mucosa is Associated with Susceptibility to Pneumococcal Carriage in Older Adults
Preprint
Urban BC. et al, (2023)
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Ten quick tips for harnessing the power of ChatGPT in computational biology.
Journal article
Lubiana T. et al, (2023), PLoS Comput Biol, 19
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Gene Signatures of Symptomatic and Asymptomatic Clinical-Immunological Profiles of Human Infection by Leishmania (L.) chagasi in Amazonian Brazil
Journal article
da Matta VLR. et al, (2023), Microorganisms, 11, 653 - 653