Date of Award

2025

Document Type

Honors Thesis (Open Access)

Department

Colby College. Computer Science Dept.

Advisor(s)

Stephanie Taylor

Abstract

Modeling the light response system of Nannochloropsis oceanica brings

a set of challenges that make modeling difficult. Notably, potential models

may contain a large number of chemical species. A large number of

species creates a quadratic explosion in the number of potential pathways.

In addition, mathematically defining these pathways is error prone, yet

follows a surprising simple set of rules. We seek to create a domain specific

language which can precisely define these chemical reaction networks.

Once the networks have been defined, they can be exported as procedures

defined in popular programming languages for further analysis.

Keywords

domain specific language, differential equations, python, julia, systems biology

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