Post-doctoral Research Associate In Computational Biology
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.
Ten quick tips for harnessing the power of ChatGPT in computational biology.
Lubiana T. et al, (2023), PLoS Comput Biol, 19
Gene Signatures of Symptomatic and Asymptomatic Clinical-Immunological Profiles of Human Infection by Leishmania (L.) chagasi in Amazonian Brazil
da Matta VLR. et al, (2023), Microorganisms, 11, 653 - 653
Polycomb Repressive Complex 1 subunit Cbx4 positively regulates effector responses in CD8 T cells
Melo GA. et al, (2022)
Differentiation of Memory CD8 T Cells Unravel Gene Expression Pattern Common to Effector and Memory Precursors
Neitzke-Montinelli V. et al, (2022), Frontiers in Immunology, 13
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Aquime Gonçalves AN. et al, (2022), Journal of Visualized Experiments