Although field-based carbon estimations remain necessary for these purposes, integrating LiDAR remote sensing into carbon inventory schemes allows recovery of spatially-explicit AGC estimates across landscapes, while reducing the total costs and need for extensive field-based sampling [31].
To overcome this constraint, we present and illustrate a new statistical approach that has two purposes: integrate high throughput data and survey the general dynamical mechanisms emerging for a slightly perturbed metabolic network.
For this we created datasets specifically for our data mining purposes, integrating data from several biological databases and websites.
To this purpose, integrated modeling is an indispensable element.
In pharma industry, alignment and similarity searches are routinely used together with template-based structure prediction in structure-based drug design (integrated in purpose-built software).
For this purpose, integrating the engineering knowledge in efficient feature extraction is essential.
For this second purpose, integrating vectors could be constructed as a polycistronic vector.
From the practical point of view, by being open, the content can be accessed by any learner, reused in new contexts, modified or extended for other purposes, and integrated in a shared pool of resources, and it can be the shared point of a reference for collaboration (Baytes 2014).
In this paper, we will (1) formulate a collaborative simulation problem; (2) identify the factors influencing the performance of a simulation; (3) propose a method for run-time interaction to achieve optimal simulation accuracy; and (4) illustrate how the components serving different purposes are integrated.
It can easily be adapted for different purposes and integrated into existing workflows.
