Computational Biology Research README This research was designed to provide future computational biology and environmental researchers with quality, complete, and easy-to-access biological models of 40+ different, toxin-producing cyanobacteria species. Scripts were also written in MATLAB and Python code that could be used to assemble and present useful data from any directory of properly formatted in silico biological models. Meersman, J.T.. 2016. Computational assembly of in silico cyanobacteria models and related data mining scripts. Fall 2016 Research Paper Link: https://drive.google.com/file/d/0Bypy5a-VBlzNVnNJT1dyZjM5SDA/view?usp=sharing Meersman, J.T.. 2017. Data mining and optimization of in silico models via Python and the Unix command line. Spring 2017 Research Paper Link: https://drive.google.com/open?id=0Bypy5a-VBlzNRjhiTnE0NXU1eDQ
jackmeersman/ComputationalBiologyResearch
Repository of code and information developed for computational biology research at UGA
MATLAB