Visual exploration of large metabolic models | Zendy

Michael Aichem | Zendy; Tobias Czauderna | Zendy; Yan Zhu | Zendy; Jinxin Zhao | Zendy; Matthias Klapperstück | Zendy; Karsten Klein | Zendy; Jian Li | Zendy; Falk Schreiber | Zendy

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Visual exploration of large metabolic models

Author(s) -

Michael Aichem,

Tobias Czauderna,

Yan Zhu,

Jinxin Zhao,

Matthias Klapperstück,

Karsten Klein,

Jian Li,

Falk Schreiber

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab335

Subject(s) - computer science , visualization , source code , software , decomposition , domain (mathematical analysis) , metabolic network , code (set theory) , software visualization , data mining , software engineering , software system , computational biology , programming language , component based software engineering , biology , ecology , mathematical analysis , mathematics , set (abstract data type)

Large metabolic models, including genome-scale metabolic models, are nowadays common in systems biology, biotechnology and pharmacology. They typically contain thousands of metabolites and reactions and therefore methods for their automatic visualization and interactive exploration can facilitate a better understanding of these models.

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