3 citations · 5 across the 4 of their papers we have counts for
5 papers
Practical Resources for Enhancing the Reproducibility of Mechanistic Modeling in Systems Biology
Michael L. Blinov, John H. Gennari, Jonathan R. Karr +3
Although reproducibility is a core tenet of the scientific method, it remains challenging to reproduce many results. Surprisingly, this also holds true for computational results in…
Computer-aided whole-cell design: taking a holistic approach by integrating synthetic with systems biology
Lucia Marucci, Matteo Barberis, Jonathan Karr +11
Computer-aided design for synthetic biology promises to accelerate the rational and robust engineering of biological systems; it requires both detailed and quantitative mathematica…
Exact Parallelization of the Stochastic Simulation Algorithm for Scalable Simulation of Large Biochemical Networks
Arthur P. Goldberg, David R. Jefferson, John A. P. Sekar +1
Comprehensive simulations of the entire biochemistry of cells have great potential to help physicians treat disease and help engineers design biological machines. But such simulati…
ObjTables: structured spreadsheets that promote data quality, reuse, and integration
Jonathan R. Karr, Wolfram Liebermeister, Arthur P. Goldberg +2
A central challenge in science is to understand how systems behaviors emerge from complex networks. This often requires aggregating, reusing, and integrating heterogeneous informat…
Organizing genome engineering for the gigabase scale
Bryan A. Bartley, Jacob Beal, Jonathan R. Karr +1
Engineering the entire genome of an organism enables large-scale changes in organization, function, and external interactions, with significant implications for industry, medicine,…