Sentence examples for empirical data and computational from inspiring English sources
WormBase encompasses genomic sequences of C. elegans and 20 related species massively annotated with gene structures, protein sequences, expression patterns, and a host of other information from empirical data and computational predictions.
In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed for their analysis.
The framework can be used both as a theoretical guidance to interpret empirical data and design new experiments, and to design computational models addressing specific problems debated in the literature.
Since systems biology is based on quantitative empirical data and marries informal cartoon-like static flowchart-type models with formal mathematical and computational modeling, it has indeed the promise of generating biological predictions accessible to experimental verification.
They often lack empirical data and are full of skittish research participants that are flung across all possible environments.
In particular, the integration of highly detailed empirical data in computational frameworks designed to model the spread of infectious diseases raises the issue of assessing which representations of the raw data work best to inform the models.
The integration of empirical data in computational frameworks designed to model the spread of infectious diseases poses a number of challenges that are becoming more pressing with the increasing availability of high-resolution information on human mobility and contacts.
Despite lack of empirical data, computational approaches have made initial contributions to miRNA study in B. mori[ 15– 18], followed by next-generation sequencing efforts that profiled miRNAs for different developmental stages and tissues [ 19– 22].
