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 language | English |
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Pages (from-to) | 3974-3975 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 37 |
Issue number | 21 |
DOIs | |
Publication status | Published - 1 Nov 2021 |