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High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

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第一作者： Herui,Liao

第一单位： Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.;Department of Civil and Environmental Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.

作者： Herui,Liao ^[1] ; Arolyn,Conwill ^[1] ; Ian,Light-Maka ^[2] ; Martin,Fenk ^[3] ; Alyssa H,Mitchell ^[1] ; Evan B,Qu ^[1] ; Paul,Torrillo ^[1] ; Jacob S,Baker ^[1] ; Felix M,Key ^[4] ; Tami D,Lieberman ^[5]

作者单位： Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.;Department of Civil and Environmental Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA. ^[1] Max Planck Institute for Infection Biology; Berlin 10117, Germany.;Charité-Universitätsmedizin Berlin, Berlin 10117, Germany. ^[2] Max Planck Institute for Infection Biology; Berlin 10117, Germany.;Humboldt-Universität zu Berlin, Faculty of Life Sciences, Berlin, Germany. ^[3] Max Planck Institute for Infection Biology; Berlin 10117, Germany. ^[4] Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.;Department of Civil and Environmental Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.;Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.;Ragon Institute of MGH, MIT, and Harvard; Cambridge, MA 02139, USA. ^[5]

DOI 10.1101/2025.09.26.678787

PMID 41256411

发布时间 2025-11-24

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High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

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High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

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