Big data in yeast systems biology

Rosemary Yu, Jens Nielsen*

*Corresponding author for this work

Research output: Contribution to journalReviewResearchpeer-review

Abstract

Systems biology uses computational and mathematical modeling to study complex interactions in a biological system. The yeast Saccharomyces cerevisiae, which has served as both an important model organism and cell factory, has pioneered both the early development of such models and modeling concepts, and the more recent integration of multi-omics big data in these models to elucidate fundamental principles of biology. Here, we review the advancement of big data technologies to gain biological insight in three aspects of yeast systems biology: gene expression dynamics, cellular metabolism and the regulation network between gene expression and metabolism. The role of big data and complementary modeling approaches, including the expansion of genome-scale metabolic models and machine learning methodologies, are discussed as key drivers in the rapid advancement of yeast systems biology.
Original languageEnglish
Article numberfoz070
JournalFEMS Yeast Research
Volume19
Issue number7
Number of pages10
ISSN1567-1356
DOIs
Publication statusPublished - 2019

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