Author

Daniel P. Birnbaum

Dartmouth CollegeORCID 0000-0002-3576-4954Unclaimed ORCID profile · follow to get notified of new preprints

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Daniel P. Birnbaum2 papers · Broad Institute

Biology Disciplines

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Genomics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anton KaniD· 1 shared Avinash Manjula‐BasavannaiD· 1 shared Blaise Leopold TardyiD· 1 shared Camille HankeliD· 1 shared Migun ShakyaiD· 1 shared Neel S. JoshiiD· 1 shared Olga ZhaxybayevaiD· 1 shared Roman KogayiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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9 top collaborators · 16 mutual co-author links

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1 shared paperSynthetic Biology

Anton KanORCID

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2 papers

Recent·Most cited

Hybrid Living Capsules Autonomously Produced by Engineered Bacteria

Daniel P. Birnbaum, Avinash Manjula‐Basavanna, Anton Kan, Blaise Leopold Tardy, Neel S. Joshi

This paper describes a method to produce hybrid living capsules using engineered bacteria, enabling programmable material properties and enzymatic functions.

Advanced Science · May 3, 2021Peer-reviewedSynthetic Biology

Machine-learning classification suggests that many alphaproteobacterial prophages may instead be gene transfer agents

Roman Kogay, Taylor B. Neely, Daniel P. Birnbaum, Camille Hankel, Migun Shakya, Olga Zhaxybayeva

The paper uses a machine-learning classifier to distinguish gene transfer agents from viral homologs in alphaproteobacterial genomes, finding that many prophage predictions are likely GTAs.

Genome Biology and Evolution · Sep 26, 2019Peer-reviewedGenomics