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Natanael Spisak

Showing results (1-10 of 13) with videos related to

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Nucleic Acids Research|October 9, 2020
Learning the heterogeneous hypermutation landscape of immunoglobulins from high-throughput repertoire dataNatanael Spisak, Aleksandra M Walczak, Thierry Mora
Biorxiv : the Preprint Server for Biology|September 15, 2025
Collateral mutagenesis funnels multiple sources of DNA damage into a ubiquitous mutational signatureNatanael Spisak, Marc de Manuel, Molly Przeworski
Plos Computational Biology|June 2, 2022
Learning the statistics and landscape of somatic mutation-induced insertions and deletions in antibodiesCosimo Lupo, Natanael Spisak, Aleksandra M Walczak, et al.
Biorxiv : the Preprint Server for Biology|December 25, 2025
What sets the mutation rate of a cell type in an animal species?Marc de Manuel, Molly Przeworski, Natanael Spisak, et al.
Plos Biology|June 8, 2026
What sets the mutation rate of a cell type in an animal species?Marc de Manuel, Molly Przeworski, Natanael Spisak, et al.
Plos Genetics|February 24, 2023
Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individualsMaría Ruiz Ortega, Natanael Spisak, Thierry Mora, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Disentangling sources of clock-like mutations in germline and somaNatanael Spisak, Marc de Manuel, William Milligan, et al.
Plos Biology|June 17, 2024
The clock-like accumulation of germline and somatic mutations can arise from the interplay of DNA damage and repairNatanael Spisak, Marc de Manuel, William Milligan, et al.
Physical Review. E|June 16, 2022
Mutual information maximization for amortized likelihood inference from sampled trajectories: MINIMALISTGiulio Isacchini, Natanael Spisak, Armita Nourmohammad, et al.
Elife|August 9, 2024
Combining mutation and recombination statistics to infer clonal families in antibody repertoiresNatanael Spisak, Gabriel Athènes, Thomas Dupic, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Nucleic Acids Research|October 9, 2020
Learning the heterogeneous hypermutation landscape of immunoglobulins from high-throughput repertoire dataNatanael Spisak, Aleksandra M Walczak, Thierry Mora
Biorxiv : the Preprint Server for Biology|September 15, 2025
Collateral mutagenesis funnels multiple sources of DNA damage into a ubiquitous mutational signatureNatanael Spisak, Marc de Manuel, Molly Przeworski
Plos Computational Biology|June 2, 2022
Learning the statistics and landscape of somatic mutation-induced insertions and deletions in antibodiesCosimo Lupo, Natanael Spisak, Aleksandra M Walczak, et al.
Biorxiv : the Preprint Server for Biology|December 25, 2025
What sets the mutation rate of a cell type in an animal species?Marc de Manuel, Molly Przeworski, Natanael Spisak, et al.
Plos Biology|June 8, 2026
What sets the mutation rate of a cell type in an animal species?Marc de Manuel, Molly Przeworski, Natanael Spisak, et al.
Plos Genetics|February 24, 2023
Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individualsMaría Ruiz Ortega, Natanael Spisak, Thierry Mora, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Disentangling sources of clock-like mutations in germline and somaNatanael Spisak, Marc de Manuel, William Milligan, et al.
Plos Biology|June 17, 2024
The clock-like accumulation of germline and somatic mutations can arise from the interplay of DNA damage and repairNatanael Spisak, Marc de Manuel, William Milligan, et al.
Physical Review. E|June 16, 2022
Mutual information maximization for amortized likelihood inference from sampled trajectories: MINIMALISTGiulio Isacchini, Natanael Spisak, Armita Nourmohammad, et al.
Elife|August 9, 2024
Combining mutation and recombination statistics to infer clonal families in antibody repertoiresNatanael Spisak, Gabriel Athènes, Thomas Dupic, et al.
Pageof 2