Robert Beiko

Professor

Dalhousie University

Canada

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About

Robert Beiko is a Professor at Dalhousie University in Canada. His research areas focus on machine learning applications in antimicrobial resistance, eDNA sampling for marine environments, and community coevolution models. Recent publications include studies on the Comprehensive Antibiotic Resistance Database, the mobilome and resistome of Enterococcus faecium, and the functional connectivity metrics for marine conservation planning.

Articles (10)

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (1)

Andrew McArthur

Professor

McMaster University

CANADA

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Robert Beiko

Research Interests

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About

Articles (10)

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Compact and automated eDNA sampler for in situ monitoring of marine environments

Integrating seascape resistances and gene flow to produce area-based metrics of functional connectivity for marine conservation planning

The Community Coevolution Model with Application to the Study of Evolutionary Relationships between Genes Based on Phylogenetic Profiles

Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective

Exploring the mobilome and resistome of Enterococcus faecium in a One Health context across two continents

Genome-scale prediction of bacterial promoters

Vaginal microbiota in women with spontaneous preterm labor versus those with term labor in Kenya: a case control study

deepSimDEF: Deep neural embeddings of gene products and gene ontology terms for functional analysis of genes

Changes in Bacterial Communities During Treatment of Municipal Wastewater in Arctic Wastewater Stabilization Ponds

Collaborators (1)

Andrew McArthur

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