The project reported here represents an extension of the growing trend to use computational methodologies for precision phenotype measurements and the especially robust genotype-to-phenotype mapping that this approach enables.
In spite of this, the reverse pharmacophore mapping approach, therefore, enables 11 of 16 experimentally confirmed tamoxifen targets to be retrieved within 10% of the ranked database, which is promising and reliable for a retrospective target identification case.
For this application, it is desirable to know how blood flow distribution differs between experimental classes, so a mapping approach that enables direct visualization of the relative class distribution was used.
No extra costs are required to develop and phenotype specific mapping populations and this approach enables screening a high number of individuals and alleles, increasing relevance for the breeding process.
Here, use of the Capture-C approach [ 36] developed by Hughes and colleagues holds considerable promise: this high-throughput approach enables mapping of genome-wide interactions for several hundred target genomic regions spanning expression-associated variants and putative regulatory elements at high resolution.
In many cases, this approach enables gene mapping in only a single affected individual and can substantially narrow the list of candidate mutations generated by WES/WGS.
More recently, fast T1 assessment using a dual flip angle (FA) GRE sequence instead of a standard inversion recovery technique for dGEMRIC, 29 and GRE-based T2* mapping 24 as an alternative to the spin-echo-based T2 mapping approach, have enabled faster imaging times and isotropic three-dimensional (3D) cartilage evaluation.
We also show how a resampling approach enables generation of spatially continuous maps of classification uncertainty.
As a corollary, this approach enables the use of local strain mapping, using digital image correlation, to measure local strains in the vicinity of the crack path.
This "big data" approach enables us to generate high-resolution maps of breast cancer treatment, and thus to identify care pathways that yield the best outcomes for patients.
