Omics data input for metabolic modeling.

Abstract:

:Recent advancements in high-throughput large-scale analytical methods to sequence genomes of organisms, and to quantify gene expression, proteins, lipids and metabolites have changed the paradigm of metabolic modeling. The cost of data generation and analysis has decreased significantly, which has allowed exponential increase in the amount of omics data being generated for an organism in a very short time. Compared to progress made in microbial metabolic modeling, plant metabolic modeling still remains limited due to its complex genomes and compartmentalization of metabolic reactions. Herein, we review and discuss different omics-datasets with potential application in the functional genomics. In particular, this review focuses on the application of omics-datasets towards construction and reconstruction of plant metabolic models.

journal_name

Curr Opin Biotechnol

authors

Rai A,Saito K

doi

10.1016/j.copbio.2015.10.010

subject

Has Abstract

pub_date

2016-02-01 00:00:00

pages

127-134

eissn

0958-1669

issn

1879-0429

pii

S0958-1669(15)00163-9

journal_volume

37

pub_type

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