Open AccessShiny GATOM: omics-based identification of regulated metabolic modules in atom transition networks
Author(s) -
Mariia Emelianova,
Anastasiia Gainullina,
Nikolay Poperechnyi,
Alexander A. Loboda,
Maxim N. Artyomov,
Alexey Sergushichev
Publication year - 2022
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkac427
Subject(s) - metabolic network , pipeline (software) , biology , computational biology , interpretability , computer science , kegg , identification (biology) , network topology , network analysis , graph , data mining , theoretical computer science , gene ontology , gene , computer network , engineering , genetics , machine learning , gene expression , botany , electrical engineering , programming language
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