Sentence examples for genomic data but from inspiring English sources

The methods were developed for plant genomic data but are applicable to mammalian genomes with minor modifications as described below.

The company's main business plan is to sell genomic data, but its problem is that the public consortium makes all its genomic data available free.

On the basis of the results from breast cancer dataset, we were able to identify interactions not only within a single dimension of genomic data but also between meta-dimensional omics data that are associated with survival.

Not only must these systems efficiently manage and integrate large volumes of genomic data, but they must also deliver accurate gene predictions and effectively distribute annotation data to the biosciences community.

These companies churn out piles of sequenced genomic data, but that data is still too complex for downstream research and clinicians to use.

"The problem these organizations face is no longer sequencing vast quantities of genomic data, but rather making sense of this data quickly and affordably," says Chatzou. "This requires new data analysis technologies, which is where Lifebit comes in.

These constraint-based modelling approaches allow integration of high-throughput post-genomic data but describe steady states and generally offer no information about metabolite concentrations or the temporal dynamics of the system [18, 19, 20].

In the 11 years since the Chanock et al. paper, there have not only been striking advances in the population genomic data available, but also in the sensitivity and specificity of wet-lab techniques to investigate specific variants, genes, and tissues, complimented by an explosion in the catalog of available functional databases.

HelicoBase is not just designed as a genomic data repository, but also aims to be an analysis platform, particularly to facilitate comparative analysis of multiple Helicobacter genomes.

The r/m and ρ/θ mean estimates are about 1-log above those obtained for the wide genomic data set, but they are similar to the HK-MLST data set estimates, which suggests that this large set of noncoding regions and these specific HKs shape these evolutionary parameters in a similar fashion for the model under evaluation.

Prediction of tumor phenotype from genomic data is difficult, but Yli-Harja's group use known associations of genes with pathways.