Robot-trifle: A robotic system for automated combinatorial growth phenotyping
Kemball, Jeremy David
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https://hdl.handle.net/2142/99397
Description
Title
Robot-trifle: A robotic system for automated combinatorial growth phenotyping
Author(s)
Kemball, Jeremy David
Issue Date
2017-12-13
Director of Research (if dissertation) or Advisor (if thesis)
Jensen, Paul
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Automation
Metabolic profiling
Robotics
Abstract
This project, robot-trifle, is an analysis pipeline for streamlining the automated construction of minimal chemically-defined media for microorganisms known to grow in culture. The first part of the pipeline analyzes known growth data to produce media elimination experiments that are planned and executed by the second and third sections. This software package aims to streamline metabolic profiling by automating the extensive bookkeeping and manual labor required to perform dozens of independent growth experiments. The metabolic profile of an organism can help inform metabolic reconstructions, community metabolism analysis, and genetic metabolism inference.
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