About this Research Topic
Quantitative Biology is a new approach to understand how biological systems are controlled and this has been backboned by recent advances in measuring, mathematical modeling and conditionally perturbing the dynamics of physiological processes.
In this Research Topic, we focus on the following points:
*Theory, imaging and analyses for exploring the mesoscopic world
*Power of engineering in new facets of biology and medicine
*Data-driven estimation of model parameters
*Advances in probing cytoskeletal and chromosomal dynamics in dividing cells
*The significance of temporal development and evolution of biological processes on large time scales
*The role of Quantitative Biology in the design of synthetic biological systems
The themes covered by this Research Topic is further described below.
"Theory, imaging and analyses for exploring the mesoscopic world" discusses various new imaging technologies, their theoretical treatment and how they can best be exploited to investigate biomolecular dynamics at the mesoscale.
"Power of engineering in new facets of biology and medicine" explores engineering solutions to biological problems and discusses items such as microfluidic devices, fermentation, automation of experimental procedures, and developing the generic technologies of these systems.
"Data-driven estimation of model parameters" reviews the state of the art statistical and mathematical tools used to analyze and understand big large-scale data.
"Advances in probing cytoskeletal and chromosomal dynamics in dividing cells" will welcome challenging and outstanding work to approach open questions in the process of cell division.
"The significance of temporal development and evolution of biological processes on large time scales" presents multicellular to individual behavior, including development studied in a quantitative manner.
Finally, " The role of Quantitative Biology in the design of synthetic biological systems" highlights how quantitative data and mathematical modeling can optimize discovery and design in synthetic biology.
In summary, we broadly welcome research pertaining to high-resolution spatio-temporal dissection of biological processes, predictive biology and the integration of data to validate hypothesis, and synthetic biology based on validated hypothesis with quantitative analyses.
In this Research Topic, we focus on the following points:
*Theory, imaging and analyses for exploring the mesoscopic world
*Power of engineering in new facets of biology and medicine
*Data-driven estimation of model parameters
*Advances in probing cytoskeletal and chromosomal dynamics in dividing cells
*The significance of temporal development and evolution of biological processes on large time scales
*The role of Quantitative Biology in the design of synthetic biological systems
The themes covered by this Research Topic is further described below.
"Theory, imaging and analyses for exploring the mesoscopic world" discusses various new imaging technologies, their theoretical treatment and how they can best be exploited to investigate biomolecular dynamics at the mesoscale.
"Power of engineering in new facets of biology and medicine" explores engineering solutions to biological problems and discusses items such as microfluidic devices, fermentation, automation of experimental procedures, and developing the generic technologies of these systems.
"Data-driven estimation of model parameters" reviews the state of the art statistical and mathematical tools used to analyze and understand big large-scale data.
"Advances in probing cytoskeletal and chromosomal dynamics in dividing cells" will welcome challenging and outstanding work to approach open questions in the process of cell division.
"The significance of temporal development and evolution of biological processes on large time scales" presents multicellular to individual behavior, including development studied in a quantitative manner.
Finally, " The role of Quantitative Biology in the design of synthetic biological systems" highlights how quantitative data and mathematical modeling can optimize discovery and design in synthetic biology.
In summary, we broadly welcome research pertaining to high-resolution spatio-temporal dissection of biological processes, predictive biology and the integration of data to validate hypothesis, and synthetic biology based on validated hypothesis with quantitative analyses.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
