Dysregulation of lipid metabolism underlies many chronic diseases such as obesity,
diabetes, cardiovascular disease, and cancer. Therefore, understanding enzymatic …

Quantitative traits are often complex because of the contribution of many loci, with further
complexity added by environmental factors. In medical research, systems genetics is a …

Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

Background The specialisation of mammalian cells in time and space requires genes
associated with specific pathways and functions to be co-ordinately expressed. Here we …

Because mouse models play a crucial role in biomedical research related to the human
nervous system, understanding the similarities and differences between mouse and human …

Background The identification of disease-related microRNAs is vital for understanding the
pathogenesis of diseases at the molecular level, and is critical for designing specific …

The identification of disease-related microRNAs is vital for understanding the pathogenesis
of disease at the molecular level and may lead to the design of specific molecular tools for …

Background: Identifying disease genes from human genome is an important but challenging
task in biomedical research. Machine learning methods can be applied to discover new …

Abstract Information regarding gene coexpression is useful to predict gene function. Several
databases have been constructed for gene coexpression in model organisms based on a …

Epoxide hydrolases catalyse the hydrolysis of electrophilic—and therefore potentially
genotoxic—epoxides to the corresponding less reactive vicinal diols, which explains the …