Sentence examples for genomic data remains from inspiring English sources
However, phylogenetic reconstruction of genomic data remains difficult because de novo assembly for non-model genomes and multi-genome alignment are challenging.
It is possible that the majority of idiopathic male and female infertility could be elucidated by WES/WGS analyses, but clinical interpretation of obtained genomic data remains challenging.
Full sequence information on even a large number of people with and without disease will not easily yield the sought-after risk information; indeed, the quantity and quality of phenotypic and environmental data required to optimize interpretation of the genomic data remains unknown and may well greatly exceed the complexity of the genomic data.
Although genome sequencing studies have revealed thousands of variants in protein kinases, translating "big" genomic data into biological knowledge remains a challenge.
This would, however, also require the integration of clinically relevant genomic data into the EHR, which remains a challenge.
Although PCA is an effective tool for reducing the dimensionality of genomic data, application of the method remains limited by the challenge of biological interpretation [ 4, 15].
Despite this tendency, human interference remains indispensable to translate genomic data correctly to biological meaning.
However, the support in this part of the tree remains limited, and large-scale genomic data from more streptophyte algae (especially Coleochaetales, Charales and Klebsormidiales) are needed to resolve this question.
This remains to be confirmed when better genomic data becomes available.
Despite the ABA having a wide application within neuroscience, there still remains a vast array of uncharted genomic data analysis (Jones et al. 2009).
Whereas our ability to interpret genomic data does not instantly improve with NGS – the biology remains complex – the ability to observe the entire genome at ultimate nucleotide resolution with predefined hypotheses on pathogenic origin opens up powerful new clinical opportunities.
