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A statistical reference-free genomic algorithm subsumes common workflows and enables novel discovery
View ORCID ProfileKaitlin Chaung, View ORCID ProfileTavor Z. Baharav, View ORCID ProfileIvan N. Zheludev, View ORCID ProfileJulia Salzman
doi: https://doi.org/10.1101/2022.06.24.497555
Kaitlin Chaung
1Department of Biomedical Data Science, Stanford University; Stanford, 94305, USA
Tavor Z. Baharav
2Department of Electrical Engineering, Stanford University; Stanford, 94305, USA
Ivan N. Zheludev
3Department of Biochemistry, Stanford University; Stanford, 94305, USA
Julia Salzman
1Department of Biomedical Data Science, Stanford University; Stanford, 94305, USA
3Department of Biochemistry, Stanford University; Stanford, 94305, USA
4Department of Statistics (by courtesy), Stanford University; Stanford, 94305, USA
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Posted July 22, 2022.
A statistical reference-free genomic algorithm subsumes common workflows and enables novel discovery
Kaitlin Chaung, Tavor Z. Baharav, Ivan N. Zheludev, Julia Salzman
bioRxiv 2022.06.24.497555; doi: https://doi.org/10.1101/2022.06.24.497555
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