Sentence examples for knowledge of complex biological from inspiring English sources
Efficient and scalable parameter estimation is crucial to the systematic construction of quantitative models that support existing knowledge of complex biological systems and, more broadly, to the success of integrative systems biology going forward.
In addition, the identification of genetic features and mechanisms behind a phenotype of interest is expected to improve our knowledge and understanding of complex biological systems.
Contact: [email protected] The Systems Biology Graphical Notation (SBGN, Le Novère et al., 2009) facilitates the representation and exchange of complex biological knowledge in a concise and unambiguous manner: as standardized pathway maps.
These reports of designing scalable and efficient knowledge discovery tools can further our understanding of complex biological systems.
A long-term solution for this issue invariably involves standardizing submission and storage of complex biological data, but the knowledge currently embedded in the literature remains available for extraction.
A proper understanding of complex biological processes may well require a complete knowledge of all the contributing elements, an appreciation of the operation of the entire system.
Contact: [email protected] Network biology facilitates the understanding of complex biological systems by organizing, analyzing and visualizing knowledge and experimental data in networks.
Furthermore, the integration of a comprehensive model of complex biological networks with genome scale data can provide new knowledge and hypotheses on molecular mechanisms underlying cellular processes.
The synthesis of complex biological molecules is equally difficult.
Second, the unique contingencies of history, not the laws of physics, set many properties of complex biological systems.
In the case of complex biological systems, the spectrum derived is a composite of the individual spectra of the components of that tissue, and analysis of chemical changes depends on knowledge of the spectra of individual components.
