Author Correction: Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
23 07 2020
Historique:
entrez: 25 7 2020
pubmed: 25 7 2020
medline: 25 7 2020
Statut: epublish

Résumé

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identifiants

pubmed: 32703980
doi: 10.1038/s41467-020-17694-4
pii: 10.1038/s41467-020-17694-4
pmc: PMC7378222
doi:

Types de publication

Journal Article Published Erratum

Langues

eng

Sous-ensembles de citation

IM

Pagination

3757

Commentaires et corrections

Type : ErratumFor

Auteurs

Maria Masid (M)

Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Meric Ataman (M)

Computational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland.

Vassily Hatzimanikatis (V)

Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. vassily.hatzimanikatis@epfl.ch.

Classifications MeSH