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Article

Likelihood-based gene annotations for gap filling and quality assessment in genome-scale metabolic models.

PLoS computational biology - 1 Oct 2014

Benedict Matthew N, Mundy Michael B, Henry Christopher S, Chia Nicholas, Price Nathan D

Abstract excerpt

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 fram...

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Identifiers

PMID: 25329157
DOI: 10.1371/journal.pcbi.1003882
PMCID: PMC4199484

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25329157-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

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