Data Analysis Pipeline of C. elegans Dynamics
Abstract
Population dynamics follows the fluctuations in birth and death rates. The effects of varying reproductive schedules and aging trajectories play important roles in population survival. Previous projects have aimed to draw connections between these traits through the analysis of data collected from laboratory ecosystems and a computational simulation (wormPOP) comparing wild type and mutant populations of Caenorhabditis elegans. However, these data sets are extensive, and the analysis has proven to be challenging and time consuming. The goal of my project was to optimize the data analysis process. Using data that had been previously collected in these experiments, I worked to produce a data analysis pipeline using the programming language R. Additional simulations were also used to provide supplemental data for analysis. Finally, this data analysis pipeline was used to gain a deeper understanding of how the life history traits of reproduction and lifespan are connected to support population survival.
Data Analysis Pipeline of C. elegans Dynamics
Havener Center - Carver Room
Population dynamics follows the fluctuations in birth and death rates. The effects of varying reproductive schedules and aging trajectories play important roles in population survival. Previous projects have aimed to draw connections between these traits through the analysis of data collected from laboratory ecosystems and a computational simulation (wormPOP) comparing wild type and mutant populations of Caenorhabditis elegans. However, these data sets are extensive, and the analysis has proven to be challenging and time consuming. The goal of my project was to optimize the data analysis process. Using data that had been previously collected in these experiments, I worked to produce a data analysis pipeline using the programming language R. Additional simulations were also used to provide supplemental data for analysis. Finally, this data analysis pipeline was used to gain a deeper understanding of how the life history traits of reproduction and lifespan are connected to support population survival.