Sentence examples for genomics features from inspiring English sources

We analyzed the enrichment and depletion of significantly and suggestively trait-associated SNPs in genomic regions annotated for 58 different functional genomics features.

In this study the RD method was applied on NGS data of 16 Sus scrofa individuals, representing the diversity of both wild and domesticated pigs, firstly to detect SVs/CNVs in the pig genome and secondly to relate the evolution of SVs/CNVs to pig genomics features and to population/domestication histories.

Moreover, similar primary sequence composition shows different recombination propensity as observed in a comparative analysis of human and chimpanzee [39], raising the question of particular short sequences and other genomics features that could influence recombination propensity.

The recent completion of a high-quality draft genome of Sus scrofa[ 25] enables the detailed investigation of a variety of genomics features.

We first describe the baseline framework for modeling the effect from a single type of genomics features to gene expression traits.

Among the 158 genomics features associated with advanced clinical stage, 45.5% are methylation, 16.8% are mutations, 31.8% are gene expression related and 8.4% are copy number alterations.

A third comparative genomics feature at RGD is VCMap [ 14], which is a tool that compares genomic positions of genes simultaneously between different species, including rat, mouse and human.

The extensive comparative genomics featured in this work hence provides useful primary insights into the role of OBPs in the molecular adaptations of mosquito olfactory system and could provide more clues for the identification of potential targets for insect repellants and attractants.

With the expansion and accessibility of a wide range of experimental techniques to accurately identify and measure any known genomics feature ranging from proteins, transcripts, genes, microRNAs, copy number variations, or DNA methylation in a high-throughput manner, signals for thousands of entities are often generated for an individual OMICs experiment.

We use functional genomics to describe genome features and to identify genes that are unique with a view to gaining insights into potential genetic components that contribute to the species distributions described above.

Further, comparative genomics has enabled insights into the genomic features that are unique for L. fermentum strains [ 32].