Author

Chris P Barnes

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Mae Woods· 2 shared Miriam Leon· 1 shared Ruben Perez-Carrasco· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersSystems Biology

Mae Woods

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2 papers

Recent·Most cited

Systems BiologybioRxivSep 28, 2016

Mechanistic modelling and Bayesian inference elucidates the variable dynamics of double-strand break repair

Chris P Barnes, Mae Woods

This study uses mechanistic modeling and Bayesian inference to analyze DNA double-strand break repair dynamics across multiple genetic knockouts, revealing variable repair modes and dependencies between repair mechanisms.

DOI 10.1371/journal.pcbi.1005131

humanDNA methylation

Synthetic BiologybioRxivJan 5, 2016

A statistical approach reveals designs for the most robust stochastic gene oscillators

Mae Woods, Miriam Leon, Ruben Perez-Carrasco, Chris P Barnes

This paper develops a statistical method to identify the most robust stochastic gene oscillators by analyzing structural and parametric robustness.

DOI 10.1021/acssynbio.5b00179

statistical modelbenchmarking