The use of multiple omics techniques (ie, genomics, transcriptomics, proteomics, and
metabolomics) is becoming increasingly popular in all facets of life science. Omics …

Mathematical models of the cellular metabolism have become an essential tool for the
optimization of biotechnological processes. They help to obtain a systemic understanding of …

Metabolic flux analysis (MFA) quantitatively describes cellular fluxes to understand
metabolic phenotypes and functional behaviour after environmental and/or genetic …

13C-based metabolic flux analysis (13C-MFA) is the state-of-the-art method to quantitatively
determine in vivo metabolic reaction rates in microorganisms. 13CFLUX2 contains all tools …

Background Experimental datasets are becoming larger and increasingly complex,
spanning different data domains, thereby expanding the requirements for respective tool …

Once considered a phenotypically monomorphic bacterium, there is a growing body of work
demonstrating heterogeneity among Mycobacterium tuberculosis (Mtb) strains in clinically …

Although bifidobacteria are widely used as probiotics, their metabolism and physiology
remain to be explored in depth. In this work, strain-specific genome-scale metabolic models …

Background L-tyrosine is a common precursor for a wide range of valuable secondary
metabolites, including benzylisoquinoline alkaloids (BIAs) and many polyketides. An …

In the post-genomic era, biological studies are characterized by the rapid development and
wide application of a series of" omics" technologies, including genomics, proteomics …

Integrated omics is becoming a new channel for investigating the complex molecular system
in modern biological science and sets a foundation for systematic learning for precision …