Title

Automated Genome Annotation And Metabolic Model Reconstruction In The SEED And Model SEED

Authors

Scott Devoid
Ross Overbeek
Matthew DeJongh, Hope CollegeFollow
Veronika Vonstein
Aaron A. Best, Hope College
Christopher Henry

Document Type

Book Chapter

Publication Date

2013

Publication Source

Systems Metabolic Engineering

Volume Number

985

First Page

17

Last Page

45

Publisher

Humana Press

ISBN

9781627032988

Comments

Series Title: Methods in Molecular Biology

Series Volume: 985

Series Subtitle: Methods and Protocols

Series ISSN: 1064-3745

Abstract

Over the past decade, genome-scale metabolic models have proven to be a crucial resource for predicting organism phenotypes from genotypes. These models provide a means of rapidly translating detailed knowledge of thousands of enzymatic processes into quantitative predictions of whole-cell behavior. Until recently, the pace of new metabolic model development was eclipsed by the pace at which new genomes were being sequenced. To address this problem, the RAST and the Model SEED framework were developed as a means of automatically producing annotations and draft genome-scale metabolic models. In this chapter, we describe the automated model reconstruction process in detail, starting from a new genome sequence and finishing on a functioning genome-scale metabolic model. We break down the model reconstruction process into eight steps: submitting a genome sequence to RAST, annotating the genome, curating the annotation, submitting the annotation to Model SEED, reconstructing the core model, generating the draft biomass reaction, auto-completing the model, and curating the model. Each of these eight steps is documented in detail.

Keywords

Bioinformatics, Metabolic Modeling

Recommended Citation

Devoid, Scott, Ross Overbeek, Matthew DeJongh, Veronika Vonstein, Aaron A. Best and Christopher Henry. "Automated Genome Annotation and Metabolic Model Reconstruction in the Seed and Model Seed." In Systems Metabolic Engineering, 985, 17-45, 2013.