Sentence examples for genetic data derived from from inspiring English sources

Exact(6)

Early negative interpretations limited the interest of understanding the genetic data derived from GWAS, particularly regarding the TOMM40 gene.

Accordingly, an individual could be re-identified from anonymized or anonymous genetic data derived from such cell lines.

We used the molecular genetic data derived from the worker genotypes to investigate how the breeding systems of V. maculifrons and V. squamosa differed.

There is clear consensus that the use of genetic data derived from diagnostic neuroblastoma tumours will remain central to patient treatment planning and gain even more power.

With increasing population genetic data derived from genome-wide microsatellite loci [ 27- 30], rice affords unique opportunities to use the above-mentioned population genetic method [ 22] to study their patterns of mutation rate.

Alternative ideas such as, but not restricted to, the 'drifty gene' hypothesis (Speakman, 2007; Speakman, 2008) are more consistent with the modern genetic data derived from GWAS, and may provide a better understanding of why some individuals are susceptible to obesity in modern society.

Similar(54)

This information is required to make informed evaluations of the genetic variant data derived from each family.

Based on single gene or gene set query from 7 organisms, it shows results for interactive functional associative network according to their coexpression data from Gene Expression Omnibus (GEO), physical and genetic interaction data derived from BioGRID, predicted protein interaction data based on orthology from I2D, colocalization, shared protein domain, and GO function.

SymbioGenomesDB will be routinely updated to keep up with the growth rate of genomic sequences available, in order to serve as a recognized authority and a comprehensive data integration site and repository for symbionts' genetic, genomic and phenotypic data, derived from major data providers.

We begin by describing how the SEM framework can be applied for analysis of data derived from genetic association studies, where the goal is to characterize associations between genotypes, within and across multiple genetic loci, and a single measure of disease progression or disease status.

Evidence supporting the requirement for specific elements of this cascade has included biochemical analysis of pre-TCR/TCR signaling as well as compelling data derived from genetic manipulation to knock out or inactivate the genes encoding components of this pathway.

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