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Marco Antoniotti

Showing results (11-20 of 43) with videos related to

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Briefings in Bioinformatics|October 1, 2020
A review of computational strategies for denoising and imputation of single-cell transcriptomic dataLucrezia Patruno, Davide Maspero, Francesco Craighero, et al.
BMC Bioinformatics|July 8, 2022
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experimentsFabrizio Angaroni, Alessandro Guidi, Gianluca Ascolani, et al.
BMC Bioinformatics|February 6, 2016
CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworksAndrea Paroni, Alex Graudenzi, Giulio Caravagna, et al.
Journal of Clinical Bioinformatics|January 25, 2014
Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inferenceClaudia Cava, Italo Zoppis, Manuela Gariboldi, et al.
Bioinformatics (Oxford, England)|January 8, 2013
GESTODIFFERENT: a Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation processMarco Antoniotti, Gary D Bader, Giulio Caravagna, et al.
Iscience|June 9, 2022
Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing dataDaniele Ramazzotti, Davide Maspero, Fabrizio Angaroni, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 24, 2010
Reverse engineering dynamic temporal models of biological processes and their relationshipsNaren Ramakrishnan, Satish Tadepalli, Layne T Watson, et al.
Cancer Informatics|September 19, 2015
CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and CancerSimone Rubinacci, Alex Graudenzi, Giulio Caravagna, et al.
Patterns (New York, N.Y.)|March 17, 2021
VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samplesDaniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, et al.
Bioinformatics (Oxford, England)|February 11, 2016
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic dataLuca De Sano, Giulio Caravagna, Daniele Ramazzotti, et al.
Pageof 5

Showing results (11-20 of 43) with videos related to

Sort By:
Pageof 5
Briefings in Bioinformatics|October 1, 2020
A review of computational strategies for denoising and imputation of single-cell transcriptomic dataLucrezia Patruno, Davide Maspero, Francesco Craighero, et al.
BMC Bioinformatics|July 8, 2022
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experimentsFabrizio Angaroni, Alessandro Guidi, Gianluca Ascolani, et al.
BMC Bioinformatics|February 6, 2016
CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworksAndrea Paroni, Alex Graudenzi, Giulio Caravagna, et al.
Journal of Clinical Bioinformatics|January 25, 2014
Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inferenceClaudia Cava, Italo Zoppis, Manuela Gariboldi, et al.
Bioinformatics (Oxford, England)|January 8, 2013
GESTODIFFERENT: a Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation processMarco Antoniotti, Gary D Bader, Giulio Caravagna, et al.
Iscience|June 9, 2022
Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing dataDaniele Ramazzotti, Davide Maspero, Fabrizio Angaroni, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 24, 2010
Reverse engineering dynamic temporal models of biological processes and their relationshipsNaren Ramakrishnan, Satish Tadepalli, Layne T Watson, et al.
Cancer Informatics|September 19, 2015
CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and CancerSimone Rubinacci, Alex Graudenzi, Giulio Caravagna, et al.
Patterns (New York, N.Y.)|March 17, 2021
VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samplesDaniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, et al.
Bioinformatics (Oxford, England)|February 11, 2016
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic dataLuca De Sano, Giulio Caravagna, Daniele Ramazzotti, et al.
Pageof 5