As tools in science, diagrams not only serve as vehicles for communication but also facilitate and constrain scientific rea-soning. We identify roles that diagrams play when computa-tional models and synthesized organisms are used to recom-pose mechanisms proposed to explain biological phenomena. Diagrams not only serve as locality aids for constructing computational models but also help in identifying ways to manipulate these models and interpret the results. Moreover, they serve as blueprints for constructing synthetic organisms and then guide the interpretation of discrepancies between these organisms and computational models
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
We propose a categorical framework to reason about scientific explanations: descriptions of a pheno...
Modeling mechanisms is central to the biological sciences-for purposes of explanation, prediction, e...
Biologists often hypothesize mechanisms to explai phenomena. Our interest is how their understanding...
An earlier version of this paper was presented at two workshops in 2016 (“Many Methods, One Biology?...
The remarkable advances in biotechnology over the past two decades have resulted in the generation o...
The remarkable advances in biotechnology over the past two decades have resulted in the generation o...
Developing and improving mechanism-oriented computational models to better explain biological phenom...
<p>The boxes show the steps and research methods that contribute to understanding molecular mechanis...
AbstractOf the set of behaviors that will be required of an autonomous artificially intelligent agen...
Synthetic Biology is characterized by a forward engineering approach to the design of biological sys...
For many years, computers have played an important role in helping scientists to store, manipulate, ...
Diagrams are two-dimensional representations of a domain in which relations among elements like poin...
Models will play a central role in the representation, storage, ma-nipulation, and communication of ...
The term model has a variety of context-dependent meanings. A common meaning of model is to represen...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
We propose a categorical framework to reason about scientific explanations: descriptions of a pheno...
Modeling mechanisms is central to the biological sciences-for purposes of explanation, prediction, e...
Biologists often hypothesize mechanisms to explai phenomena. Our interest is how their understanding...
An earlier version of this paper was presented at two workshops in 2016 (“Many Methods, One Biology?...
The remarkable advances in biotechnology over the past two decades have resulted in the generation o...
The remarkable advances in biotechnology over the past two decades have resulted in the generation o...
Developing and improving mechanism-oriented computational models to better explain biological phenom...
<p>The boxes show the steps and research methods that contribute to understanding molecular mechanis...
AbstractOf the set of behaviors that will be required of an autonomous artificially intelligent agen...
Synthetic Biology is characterized by a forward engineering approach to the design of biological sys...
For many years, computers have played an important role in helping scientists to store, manipulate, ...
Diagrams are two-dimensional representations of a domain in which relations among elements like poin...
Models will play a central role in the representation, storage, ma-nipulation, and communication of ...
The term model has a variety of context-dependent meanings. A common meaning of model is to represen...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
We propose a categorical framework to reason about scientific explanations: descriptions of a pheno...
Modeling mechanisms is central to the biological sciences-for purposes of explanation, prediction, e...