Article

Denoising sparse microbial signals from single-cell sequencing of mammalian host tissues

2022-06-30

Abstract excerpt

We developed SAHMI, a computational resource to identify truly present microbial nucleic acids and filter contaminants and spurious false-positive taxonomic assignments from standard transcriptomic sequencing of mammalian tissues. In benchmark studies, SAHMI correctly identifies known microbial infections present in diverse tissues. The application of SAHMI to single-cell and spatial genomic data enables co-detect...

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Literature Corpus work: da68f6df-4c0f-5777-b188-51a26f20f5cd
DOI: 10.1101/2022.06.29.498176

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