Likelihood-Based Gene Annotations for Gap Filling and Quality Assessment in Genome-Scale Metabolic Models

Genome-scale metabolic models provide a powerful means to harness information from genomes to deepen biological insights. With exponentially increasing sequencing capacity, there is an enormous need for automated reconstruction techniques that can provide more accurate models in a short time frame....

Descripción completa

Detalles Bibliográficos
Autores principales: Benedict, Matthew N., Mundy, Michael B., Henry, Christopher S., Chia, Nicholas, Price, Nathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199484/
https://www.ncbi.nlm.nih.gov/pubmed/25329157
http://dx.doi.org/10.1371/journal.pcbi.1003882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199484/
https://www.ncbi.nlm.nih.gov/pubmed/25329157
http://dx.doi.org/10.1371/journal.pcbi.1003882

Ejemplares similares