Sentence examples for genomic data have from inspiring English sources
Integrative methods that combine genome-wide genetic and genomic data have the potential to highlight functional genomic categories suitable for further study in relation to a given phenotype.
The complete sequencing of the human genome and high-throughput generation of genomic data have opened up avenues for a systematic approach to understanding the complex biology of cancer and clinical targeting of activated oncogenes.
In recent years, large amounts of genomic data have become available and genome comparison has become a routine task.
Genomic data have been developed to fill the genome assembly gap in Mt-FTQTL6 region and have permitted to reveal twenty positional candidate genes.
High-throughput multistep computational pipelines for the analysis of genomic data have been employed for many years at large genome centers.
During the 17 years since the first complete mitochondrial genome was reported from plants, the liverwort Marchantia polymorpha, comparative genomic data have allowed the identification of a number of genes that were previously known only as unidentified ORFs.
In response, various systems for preserving patient privacy in shared genomic data have been developed and deployed.
Genomic data have the potential to inform high resolution landscape genetic and biological conservation studies that go far beyond recent mitochondrial and microsatellite analyses.
Recent genomic data have revealed multiple interactions between Neanderthals and modern humans1, but there is currently little genetic evidence regarding Neanderthal behaviour, diet, or disease.
Progress in the absence of genomic data has been made possible by genome-wide approaches for transcriptome analysis, such as RNA-Sequencing (RNA-Seq) [ 12].
Invaluable genomic data has recently been derived from additional genome-wide association studies (GWAS) of the archetypical cholestatic liver diseases primary sclerosing cholangitis (PSC) and primary biliary cirrhosis (PBC).
