Sentence examples for mouse knockout data from inspiring English sources

However, it was found that in mouse knockout data duplicate genes are as essential as singleton genes.

This was done by integrating phenotypic data - assessed with protein essentiality inferred from mouse knockout data - into our analysis.

However, the concordance of the ESAM phenotype with mouse knockout data, discussed later, suggests that the result with esam sp1 is specific.

To finish this example, a second dataset needs to be added to the query, this time retrieving mouse knockout data from the BioMart located at the Sanger Institute, UK.

Although recent reports pointed out that the mouse knockout data were biased in both duplication age and function (Su and Gu 2008; Makino et al. 2009), the relationship between phenotypic effect and gene duplication in the mouse appears to be weaker than those in the yeast and the nematode (Hannay et al. 2008).

Z. Su et al. performed an extensive analysis of the mouse knockout phenotype data and corroborated a strong effect of duplicate genes on mouse genetics robustness.

Integrating homolog mouse genome knockout data [ 17] with the HIV interactions reveals that HIV interacts with 376 (26.28%) essential proteins.

To test this premise for the human interaction network, we explored the relationship between protein essentiality, degree and betweenness centrality, using mouse genome knockout data as a suitable proxy for essentiality [ 17].

In terms of phenotypic properties, whilst it is difficult to assess human gene essentiality directly, we can use mouse genome knockout data as a proxy for the importance of a gene in terms of a known phenotypic consequence in disrupting its product's function [ 17].

In this study, to address this challenge, we purpose a four-step filtering method that predicts gene markers from RNA-sequencing data of mouse knockout studies by utilizing a gene regulatory network constructed from omics data in the public domain, biological knowledge from curated pathways, and information of single-nucleotide variants.

Thus, mapping potential gene markers to the pathways takes advantage of the interpretability of omics data from mouse knockout studies.