Sentence examples for next generation expression from inspiring English sources

To conduct Next Generation expression studies or to study primate evolution, a high quality annotation of the marmoset genome is required.

The SLA-RI set may be merged with any other generic set and it is anticipated that the number of overlapping probes between sets should increase as a function of the genome coverage in the next generation expression arrays.

Based on these results, a next generation expression vector system (pREN) was constructed with the engineering of an internal ribosome entry site (IRES) between the antibody genes and the selectable markers.

One specific application of next generation gene expression analysis is DeepSAGE, a tag sequencing method on the Illumina high-throughput sequencing platform that is analogous to LongSAGE [ 3].

To conduct Next Generation gene expression studies and to study primate evolution, a high quality annotation of the marmoset genome is required.

Robert B. Eustace's panel with a Madonna and Child image is from "The Next Generation: Contemporary Expressions of Faith," at the Museum of Biblical Art in Manhattan.

It integrated miRNA expression levels measured by next generation sequencing, gene expression measured by exons arrays, as well as data of a recently published gene expression microarray study [ 22].

Homozygous lines were identified in the next generation and the expression of GUS reporter gene was monitored by the GUS staining method.

The reduction of globin transcripts in whole blood samples constitutes a reproducible and reliable method that can enrich data obtained from next generation sequencing-based expression profiling.

A next generation of gene expression experiments using biological phenotyping of patients, convergent evidence from animal models, brain-circuit related data analysis, and next-generation sequencing will be needed to make substantial progress in gene expression studies in MD.

Markov networks have been well studied in bioinformatics and numerous applications are concerned with inferring the network structure primarily from microarray and next generation sequencing gene expression data (Kotera et al., 2012; Gallopin et al., 2013; Segal et al., 2003).