Ongoing global efforts to commercialize microalgal biofuels have expedited the use of multi-
omics techniques to gain insights into lipid biosynthetic pathways. Functional genomics …

Cyanobacteria are oxygenic photoautotrophs whose metabolism contains key biochemical
pathways to fix atmospheric CO 2 and synthesize various metabolites. The development of …

Machine learning has recently emerged as a promising tool for inferring multi-omic
relationships in biological systems. At the same time, genome-scale metabolic models …

Background The microbial production of fatty acids has received great attention in the last
few years as feedstock for the production of renewable energy. The main advantage of using …

With their photosynthetic ability and established genetic modification systems, cyanobacteria
are essential for fundamental and biotechnological research. Till now, hundreds of …

In recent years, research initiatives on renewable bioenergy or biofuels have been gaining
momentum, not only due to fast depletion of finite reserves of fossil fuels but also because of …

Combining a computational framework for flux balance analysis with machine learning
improves the accuracy of predicting metabolic activity across conditions, while enabling …

Background After multiple lines of therapies, no guideline or consensus is currently
available for the treatment of patients with metastatic breast cancer. This study aims to …

As one of the essential life forms in the biosphere, research on cyanobacteria has been
growing remarkably for decades. Biological functions in organisms are often accomplished …

Until recently, the study of cyanobacteria and microalgae has been hampered by the need to
cultivate these organisms to gain insight into their cytomorphology, life cycle and molecular …