Showing results (61-70 of 98) with videos related to
Sort By:
Pageof 10
Biorxiv : the Preprint Server for Biology|March 30, 2022
Maximum likelihood pandemic-scale phylogeneticsNicola De Maio, Prabhav Kalaghatgi, Yatish Turakhia, et al.Plos Computational Biology|January 6, 2021
Sampling bias and model choice in continuous phylogeography: Getting lost on a random walkAntanas Kalkauskas, Umberto Perron, Yuxuan Sun, et al.Biorxiv : the Preprint Server for Biology|January 20, 2021
Mutation rates and selection on synonymous mutations in SARS-CoV-2Nicola De Maio, Conor R Walker, Yatish Turakhia, et al.Nature Biotechnology|January 2, 2023
Dynamic, adaptive sampling during nanopore sequencing using Bayesian experimental designLukas Weilguny, Nicola De Maio, Rory Munro, et al.Nature|January 29, 2013
Towards practical, high-capacity, low-maintenance information storage in synthesized DNANick Goldman, Paul Bertone, Siyuan Chen, et al.Nature Genetics|April 10, 2023
Maximum likelihood pandemic-scale phylogeneticsNicola De Maio, Prabhav Kalaghatgi, Yatish Turakhia, et al.Genome Biology and Evolution|April 25, 2021
Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2Nicola De Maio, Conor R Walker, Yatish Turakhia, et al.Molecular Biology and Evolution|June 30, 2025
Detecting Interspecific Positive Selection Using Convolutional Neural NetworksCharlotte West, Conor R Walker, Shayesteh Arasti, et al.Biorxiv : the Preprint Server for Biology|March 24, 2021
phastSim: efficient simulation of sequence evolution for pandemic-scale datasetsNicola De Maio, William Boulton, Lukas Weilguny, et al.Plos Computational Biology|April 29, 2022
phastSim: Efficient simulation of sequence evolution for pandemic-scale datasetsNicola De Maio, William Boulton, Lukas Weilguny, et al.Pageof 10