DEMETER: efficient simultaneous curation of genome-scale reconstructions guided by experimental data and refined gene annotations

Almut Heinken, Stefanía Magnúsdóttir, Ronan M.T. Fleming, Ines Thiele

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

19 Citations (Scopus)

Abstract

Motivation: Manual curation of genome-scale reconstructions is laborious, yet existing automated curation tools do not typically take species-specific experimental and curated genomic data into account. Results: We developed Data-drivEn METabolic nEtwork Refinement (DEMETER), a Constraint-Based Reconstruction and Analysis (COBRA) Toolbox extension, which enables the efficient, simultaneous refinement of thousands of draft genome-scale reconstructions, while ensuring adherence to the quality standards in the field, agreement with available experimental data and refinement of pathways based on manually refined genome annotations.

Original languageEnglish
Pages (from-to)3974-3975
Number of pages2
JournalBioinformatics
Volume37
Issue number21
DOIs
Publication statusPublished - 1 Nov 2021

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