نتایج جستجو برای: epigenomic
تعداد نتایج: 1742 فیلتر نتایج به سال:
In this paper we propose network methodology to infer prognostic cancer biomarkers based on the epigenetic pattern DNA methylation. Epigenetic processes such as DNA methylation reflect environmental risk factors, and are increasingly recognised for their fundamental role in diseases such as cancer. DNA methylation is a gene-regulatory pattern, and hence provides a means by which to assess genom...
Rod and cone photoreceptors are highly similar in many respects but they have important functional and molecular differences. Here, we investigate genome-wide patterns of DNA methylation and chromatin accessibility in mouse rods and cones and correlate differences in these features with gene expression, histone marks, transcription factor binding, and DNA sequence motifs. Loss of NR2E3 in rods ...
Recent advances in molecular biology and computational power have seen the biomedical sector enter a new era, with corresponding development of Bioinformatics as a major discipline. Generation of enormous amounts of data has driven the need for more advanced storage solutions and shared access through a range of public repositories. The number of such biomedical resources is increasing constant...
ɗ Reconstruct the structural details of protein complexes that are active in cell adhesion and metabolism. ɗ Predict the consequences of cancer related alterations ; we are focusing on alterations with a compensatory nature ( co-evolutionary related mutations ) as well as those affecting alternative splicing patterns. ɗ Contribute to the analysis of cancer epigenomic and genomic information wit...
Maltreatment in childhood affects mental health over the life course. New research shows that early life experiences alter the genome in a way that can be measured in peripheral blood samples decades later. These findings suggest a new strategy for exploring gene-environment interactions and open opportunities for translational epigenomic research.
With hundreds of epigenomic maps, the opportunity arises to exploit the correlated nature of epigenetic signals, across both marks and samples, for large-scale prediction of additional datasets. Here, we undertake epigenome imputation by leveraging such correlations through an ensemble of regression trees. We impute 4,315 high-resolution signal maps, of which 26% are also experimentally observe...
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