Systematically gap-filling the genome-scale metabolic model of CHO cells
Author:
Funder
Novo Nordisk Fonden
Publisher
Springer Science and Business Media LLC
Subject
General Medicine,Biotechnology,Bioengineering,Applied Microbiology and Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s10529-020-03021-w.pdf
Reference62 articles.
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3. Benedict MN, Mundy MB, Henry CS, Chia N, Price ND (2014) Likelihood-based gene annotations for gap filling and quality assessment in genome-scale metabolic models. PLoS Comput Biol 10:e1003882
4. Biggs MB, Papin JA (2017) Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA. PLoS Comput Biol 13:e1005413
5. Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120
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