Current molecular data on the biology of renal neoplasms have shown important diagnostic, therapeutic, and prognostic implications.
An expert panel today called for creating a massive data network that would combine cutting-edge genomic and molecular data on patients' diseases with their routine medical records.
Here we propose a network model that integrates most of the available genetic and molecular data on the regulatory and signaling pathways underlying root epidermal differentiation.
It includes structural and biochemical aspects of S-layer glycans as well as molecular data on the machinery underlying the glycosylation event.
This is the first molecular data on endogenous Paramecium PLCs with the described properties affecting GPI anchors in vitro and in vivo.
We [5] and others [8] have proposed the combination of PET-FDG and fDOT as a method of choice to provide multiple molecular data on experimental tumors in mice.
By combining forces, companies and academics hope to cut costs and speed things up by sorting through a wealth of new genomic and molecular data on disease biology to find the most promising new drug targets.
Since Arabidopsis is unable to develop specific organogenesis resulting from symbiotic interactions, we also discuss recent molecular data on the analysis of the nitrogen‐fixing symbiotic nodules and their influence on root architecture in legumes.
We present a practical application of the exit-time equation serving to predict the diffusion coefficient in porous structures directly from molecular data on the interaction between particles and pore wall.
Tree maps have been used to visualize hierarchical clustering by organizing molecular data on the basis of the similarity between chemical structures or similarity across a predefined profile of biological assay values and to prepare visual representations of molecular structure hierarchies alongside activity information.
The molecular data on SCCmec type was also consistent with a community origin for these strains.
