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Detecting microbial footprints in cancer sequencing
Gianmarco Piccinno1, Robin Mjelle2, Nicola Segata3
1Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Cancer Cell
|February 27, 2026
Abstract:
Detecting the presence of microbial organisms within the tumor microenvironment may have biomedical relevance but presents serious technical challenges. In this issue of Cancer Cell, Ghaddar et al. develop a computational framework for the reliable detection of microbes within tumoral genomic and transcriptomic data.

