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Deep metagenomic mining reveals bacteriophage sequence motifs driving host specificity
View ORCID ProfilePhil Huss, View ORCID ProfileKristopher Kieft, View ORCID ProfileAnthony Meger, View ORCID ProfileKyle Nishikawa, View ORCID ProfileKarthik Anantharaman, View ORCID ProfileSrivatsan Raman
doi: https://doi.org/10.1101/2023.02.07.527309
Phil Huss
1Department of Biochemistry, University of Wisconsin-Madison
2Department of Bacteriology, University of Wisconsin-Madison
3Microbiology Doctoral Training Program, University of Wisconsin-Madison
Kristopher Kieft
2Department of Bacteriology, University of Wisconsin-Madison
3Microbiology Doctoral Training Program, University of Wisconsin-Madison
Anthony Meger
1Department of Biochemistry, University of Wisconsin-Madison
Kyle Nishikawa
1Department of Biochemistry, University of Wisconsin-Madison
Karthik Anantharaman
2Department of Bacteriology, University of Wisconsin-Madison
Srivatsan Raman
1Department of Biochemistry, University of Wisconsin-Madison
2Department of Bacteriology, University of Wisconsin-Madison
4Department of Chemical and Biological Engineering, University of Wisconsin-Madison

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Posted February 09, 2023.
Deep metagenomic mining reveals bacteriophage sequence motifs driving host specificity
Phil Huss, Kristopher Kieft, Anthony Meger, Kyle Nishikawa, Karthik Anantharaman, Srivatsan Raman
bioRxiv 2023.02.07.527309; doi: https://doi.org/10.1101/2023.02.07.527309
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