Sentence examples for molecular data generated from inspiring English sources

Using molecular data generated by high throughput next generation sequencing (NGS) platforms to infer phylogeny is becoming common as costs go down and the ability to capture loci from across the genome goes up.

In this article we analyse a series of datasets, harnessing the increasing quantities of molecular data generated in recent years, to investigate the density, temporal dynamics and infectiousness of low-density P. falciparum infections.

In this session we will go through the characteristics of the molecular data generated by some of this technologies and the basic processing and statistical analysis tools that can be used to generate knowledge from these data.

The molecular data generated in our study from gregarine apicomplexans enabled us to revisit several of these inferences with much more confidence.

In conclusion, while DArT has been previously used to complement existing technologies in crop breeding and genomics [10], our studies show that the abundant non a priori comparative molecular data generated by DArT also holds real potential for use in a wide range of high-throughput evolutionary studies.

MP-L collected the molecular data, generated the sequence alignment and carried out the molecular and some of the morphological analyses.

Together with the biochemical and molecular biological data generated in cultured cells, these results have provided a novel regulatory mechanism to explain the overexpression of Sp1 in gastric cancers at the post-translation level.

More broadly, it provides a template to use in providing such functionality for other molecular profile data generated by academic institutions, public projects, or the private sector.

We have evaluated four commonly used methods in the analysis of molecular pathology data generated using TMAs in the study of cancer.

Access to the very large number of data required the development of a web-based infrastructure – EURISWEB – that includes a relational online database, coupled with a query system for data retrieval, and allows integrative storage of demographic, clinical and molecular biology data generated in EURIS.

Molecular data were generated from terminal restriction fragment length polymorphism (T-RFLP) analysis targeting the 16S rRNA and amoA genes from the sludge community.