Sentence examples for computational integration with from inspiring English sources

Interpretation of an electron microscopy map requires its computational integration with data about the structure's components from all available sources, notably atomic models.

A concept in an ontology can have extensive semantic information beyond its textual representation, and allows computational integration with other resources that use the same ontologies (Rubin et al., 2008).

Computational integration of these data with epigenome data, including ATAC-seq on skeletal muscle, and transcriptome data across diverse tissues reveals that the tissue-specific genetic regulatory architecture of skeletal muscle is highly enriched in muscle stretch/super enhancers, including some that overlap T2D GWAS variants.

Furthermore, computational integration of available data with the fragment assembly of RNA (FARNA) algorithm in Rosetta (Cheng et al., 2015) has led to tertiary structure models with accuracies of 1 nanometer or better (all-heavy-atom root-mean-squared-deviation, RMSD).

Computational integration of the aging proteome with the single cell transcriptomes predicts the cellular source of regulated proteins and creates an unbiased reference map of the aging lung.

We showed how such computational integration can improve prognostic performance.

With more and more genomic data available, it will become an inevitable trend to study the complex biological systems based on computational integration of those heterogeneous data.

This may be the beginning of a trend towards computational integration between unrelated research groups.

Software companies are opening their GPS computational systems that facilitate integration with other desktop and GSM based mobile software that compose an integrated decision support system to achieve impressive results in efficiency and economies of scales, also in revenues to wholesale companies.

A number of groups within the Network are developing methods for generating data from large numbers of single cells, which will present new computational challenges for the integration with current modelling approaches36.

Lastly, synthetic biology (Way et al., 2014) promises to extend biological systems well beyond what is naturally observed and its integration with computational drug design (Marchisio and Stelling, 2009; Tew et al., 2010) and structural bioinformatics will open new and exciting possibilities.