The toxicogenomics field aims to understand and predict toxicity by using 'omics' data in
order to study systems-level responses to compound treatments. In recent years there has …

mRNA translation, or protein synthesis, is a major component of the transformation of the
genetic code into any cellular activity. This complicated, multistep process is divided into …

Lipidomics is of growing importance for clinical and biomedical research due to many
associations between lipid metabolism and diseases. The discovery of these associations is …

Gene expression profiles have been extensively discussed as an aid to guide the therapy by
predicting disease outcome for the patients suffering from complex diseases, such as …

Toxic liver injury causes necrosis and fibrosis, which may lead to cirrhosis and liver failure.
Despite recent progress in understanding the mechanism of liver fibrosis, our knowledge of …

We present KeyPathwayMinerWeb, the first online platform for de novo pathway enrichment
analysis directly in the browser. Given a biological interaction network (eg protein–protein …

Background Over the last decade network enrichment analysis has become popular in
computational systems biology to elucidate aberrant network modules. Traditionally, these …

Emerging evidence indicates the existence of a new class of cancer genes that act as
“signal linkers” coordinating oncogenic signals between mutated and differentially …

Toxicogenomics is the study of the molecular effects of chemical, biological and physical
agents in biological systems, with the aim of elucidating toxicological mechanisms, building …

Toxic industrial chemicals induce liver injury, which is difficult to diagnose without invasive
procedures. Identifying indicators of end organ injury can complement exposure-based …