"Although the Arabidopsis and rice genomes have been sequenced, the complex gene-to-metabolite networks that produce what we know as these plants have been difficult to discern. In the June 15 PNAS, Masami Hirai and colleagues report a solution that involves mathematically combining transcriptomics and metabolomics, thus allowing the analysis of sulfur and nitrogen gene-to-metabolite networks in Arabidopsis.
"Understanding… network behavior through a combination of analytical and mathematical approaches has great potential for deepening our understanding of metabolic regulation," said Alisdair Fernie, from the Max Planck Institute, Golm, Germany, who was not involved the study."
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”BIOINFORMATICS IN THE 21st CENTURY
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