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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
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Kristopher Kieft
2Department of Bacteriology, University of Wisconsin-Madison
3Microbiology Doctoral Training Program, University of Wisconsin-Madison
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Anthony Meger
1Department of Biochemistry, University of Wisconsin-Madison
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Kyle Nishikawa
1Department of Biochemistry, University of Wisconsin-Madison
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Karthik Anantharaman
2Department of Bacteriology, University of Wisconsin-Madison
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  • ORCID record for Karthik Anantharaman
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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  • For correspondence: sraman4@wisc.edu
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Posted February 09, 2023.
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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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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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