Pathogens manipulate the cellular mechanisms of host organisms via pathogen–host
interactions (PHIs) in order to take advantage of the capabilities of host cells, leading to …

Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Organisms do not exist isolated from each other, but constantly interact. Cells can sense the
presence of interaction partners by a range of receptors and, via complex regulatory …

Analysis of RNA-sequence (RNA-seq) data is widely used in transcriptomic studies and it
has many applications. We review RNA-seq data analysis from RNA-seq reads to the results …

Cancer investigations in microarray data play a major role in cancer analysis and the
treatment. Cancer microarray data consists of complex gene expressed patterns of cancer …

Genome-wide gene expression analyses are invaluable tools for studying biological and
disease processes, allowing a hypothesis-free comparison of expression profiles …

Intestinal epithelial cells (IEC) form a tight barrier to the gut lumen. Paracellular permeability
of the intestinal barrier is regulated by tight junction proteins and can be modulated by …

Correlation networks are frequently used to statistically extract biological interactions
between omics markers. Network edge selection is typically based on the statistical …

The intricate nature of biological processes is orchestrated by molecular interactions. The
complexity of these interactions stems from the sheer number of components involved and …

A growing body of evidence links gut microbiota changes with inflammatory bowel disease
(IBD), raising the potential benefit of exploiting metagenomics data for non-invasive IBD …