Sentence examples for genomic interaction and from inspiring English sources

Exact(3)

These duplicates will unduly strengthen the case for a given genomic interaction and therefore HiCUP removes all but one representative copy of the di-tag.

Gene set enrichment approaches leverage genomic interaction and pathway information to enable the study of putative genes in the context of their biological processes.

To further understand the molecular and signaling networks for TDSCs loaded in these conditions, signaling network analysis was performed with Ingenuity Knowledge Base (IKB) and Global Molecular Network (GMN) from the Ingenuity System Database, which provided genomic interaction and signal networks information.

Similar(57)

Genes from both genomes encode several proteins that are critical to metabolism and an abrupt disassociation between the genomes may interfere not only their respective normal function but also the established genomic interactions and co-adaptation [ 15]. (3) Massive introgression events were often suggested to be adaptive processes driven by natural selection [ 1, 4, 12].

She hasn't, though, solved the problem of how to make the mind-numbing complexity of some genomic interactions and the confusing nomenclature of genes palatable to the general reader.

Kolovos, P. et al. Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements.

Here, we review recently uncovered mechanisms that underpin long-range genomic interactions and the generation of antigen receptor diversity.

Our method is quite generalized and can thus be applied to discover the underlying rules for protein-protein interactions, genomic interactions, and structure-function relationships, as well as those of other fields of research.

This has led to an improved understanding of complex genomic interactions and the development of new tools for the diagnosis and management of human disease [ 3].

We propose that the possibility of erroneous genomic interactions and consequently functional dysregulation is minimized by means of restricting the total number of interactions of loci that are important for normal organism development.

Thus, we propose a novel approach for identifying knowledge-driven genomic interactions and applying it to discover models associated with cancer clinical phenotypes using grammatical evolution neural networks (GENN).

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