Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Chris P Barnes

Showing results (1-10 of 64) with videos related to

Pageof 7
Sort By:
Plos Computational Biology|October 15, 2016
Mechanistic Modelling and Bayesian Inference Elucidates the Variable Dynamics of Double-Strand Break RepairMae L Woods, Chris P Barnes
Biochimica Et Biophysica Acta. Reviews on Cancer|January 11, 2017
Catch my drift? Making sense of genomic intra-tumour heterogeneityAndrea Sottoriva, Chris P Barnes, Trevor A Graham
Interface Focus|December 11, 2012
Bayesian design strategies for synthetic biologyChris P Barnes, Daniel Silk, Michael P H Stumpf
Nature Communications|March 29, 2025
Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instabilityBingxin Lu, Samuel Winnall, William Cross, et al.
Nature Communications|January 29, 2021
Automated design of synthetic microbial communitiesBehzad D Karkaria, Alex J H Fedorec, Chris P Barnes
Plos Computational Biology|November 21, 2022
Deep reinforcement learning for optimal experimental design in biologyNeythen J Treloar, Nathan Braniff, Brian Ingalls, et al.
ACS Synthetic Biology|February 3, 2016
A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene OscillatorsMae L Woods, Miriam Leon, Ruben Perez-Carrasco, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 31, 2011
Bayesian design of synthetic biological systemsChris P Barnes, Daniel Silk, Xia Sheng, et al.
Cell Systems|July 27, 2018
Synthetic Biology and Engineered Live Biotherapeutics: Toward Increasing System ComplexityTanel Ozdemir, Alex J H Fedorec, Tal Danino, et al.
Statistical Applications in Genetics and Molecular Biology|March 19, 2013
On optimality of kernels for approximate Bayesian computation using sequential Monte CarloSarah Filippi, Chris P Barnes, Julien Cornebise, et al.
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Plos Computational Biology|October 15, 2016
Mechanistic Modelling and Bayesian Inference Elucidates the Variable Dynamics of Double-Strand Break RepairMae L Woods, Chris P Barnes
Biochimica Et Biophysica Acta. Reviews on Cancer|January 11, 2017
Catch my drift? Making sense of genomic intra-tumour heterogeneityAndrea Sottoriva, Chris P Barnes, Trevor A Graham
Interface Focus|December 11, 2012
Bayesian design strategies for synthetic biologyChris P Barnes, Daniel Silk, Michael P H Stumpf
Nature Communications|March 29, 2025
Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instabilityBingxin Lu, Samuel Winnall, William Cross, et al.
Nature Communications|January 29, 2021
Automated design of synthetic microbial communitiesBehzad D Karkaria, Alex J H Fedorec, Chris P Barnes
Plos Computational Biology|November 21, 2022
Deep reinforcement learning for optimal experimental design in biologyNeythen J Treloar, Nathan Braniff, Brian Ingalls, et al.
ACS Synthetic Biology|February 3, 2016
A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene OscillatorsMae L Woods, Miriam Leon, Ruben Perez-Carrasco, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 31, 2011
Bayesian design of synthetic biological systemsChris P Barnes, Daniel Silk, Xia Sheng, et al.
Cell Systems|July 27, 2018
Synthetic Biology and Engineered Live Biotherapeutics: Toward Increasing System ComplexityTanel Ozdemir, Alex J H Fedorec, Tal Danino, et al.
Statistical Applications in Genetics and Molecular Biology|March 19, 2013
On optimality of kernels for approximate Bayesian computation using sequential Monte CarloSarah Filippi, Chris P Barnes, Julien Cornebise, et al.
Pageof 7