Sentence examples for the data we develop from inspiring English sources

It is easy to underestimate how important it is to protect the data we develop abroad and we need to know it is safe.

To analyze the data, we develop a framework as shown in Fig. 1.

Of course much further research is needed as the data we developed and is being used in these studies is new.

After analyzing the data, we developed a big picture about ZGC in the context of China's digital entrepreneurship boom.

To process the data, we developed a software written using a Python language called PyGrav in order to homogenize and concatenate current processing codes like Matlab scripts, MCGravi (Beilin 2006), CGxTool (Gabalda et al. 2003), or ETERNA (Wenzel 1996).

Based on the data we developed the Chronic Care Model for Neurological Conditions (CCM-NC).

To analyze the data we developed a coding system that contained 10 supercategories and a total of 105 subcategories.

Before analysing the data, we developed a method to combine data on all passive smoking exposures, including exposure during childhood, adult home exposure, and work exposure.

In order to improve genotyping efficiency of the data we developed a pipeline for validation, quality filtering and allele scoring in Atlantic salmon.

To store, integrate, display, and interrogate the data, we developed a platform based on Django, a python web framework (http://www.ncbi.nlm.nih.gov/genome/viruses/).nih.gov/genome/viruses/

We identified several biases that inflate the ASE false positive rate and to control for these biases while maximizing the information obtained from the data, we developed a novel approach for mapping PE sequence reads to the human transcriptome.