In the face of ever-growing of biological data at the genome scale (denoted as omics data) [1,2], investigators of virtually every aspect of biological research are shifting their attention to massive information extracted from omics data. The ‘omics’ refers to a complete set of bi‐ omolecules, such as DNAs, RNAs, proteins and other molecular entities. Omics data are produced by high-throughput...

Schistosomiasis, caused by dioecious flatworms in the genus Schistosoma, is torturing people from many developing countries nowadays and frequently leads to severe morbidity and mortality of the patients. Praziquantel based chemotherapy and morbidity control for this disease adopted currently necessitate viable and efficient diagnostic technologies. Fortunately, those "-omics" researches, which...

Multi-omics studies are believed to provide a more comprehensive picture of a complex biological system than traditional studies with one omics data source. However, from a statistical point of view data integration implies non-trivial challenges. In this review, we highlight recent statistical inference and learning techniques that have been devised in this context. In the first part of our ar...

High-throughput omics technologies generate huge datasets on the protein, transcript, lipid, and metabolite content of cells. By integrating and analyzing these data, systems biologists study complex networks of physical and functional interactions that go beyond the traditional focus on individual proteins or linear pathways. Many cell biologists have greeted these developments with healthy sk...

Since the dawn of the post-genomic era a myriad of novel high-throughput technologies have been developed that are capable of measuring thousands of biological molecules at once, giving rise to various "omics" platforms. These advances offer the unique opportunity to study how individual parts of a biological system work together to produce emerging phenotypes. Today, many research laboratories...

The 1990s will be remembered as the decade when advances in biomedical research launched the genomics era. While new information and technologies are clearly important products of the genomics revolution, perhaps most important is a change in mindset of how we pursue scientific discovery. We are no longer satisfied to study a gene or gene product in isolation, but rather we strive to view each ...

Diverse '-omics' technologies permit the comprehensive quantitative profiling of a variety of biological molecules. Comparative '-omics' analyses, such as transcriptomics and proteomics, are powerful and useful tools for unraveling the molecular pathomechanisms of various diseases. As enhanced oxidative stress has been demonstrated in humans and mice with Down syndrome (DS), a redox proteomic a...

The diverse fields of Omics research share a common logical structure combining a cataloging effort for a particular class of molecules or interactions, the underlying -ome, and a quantitative aspect attempting to record spatiotemporal patterns of concentration, expression, or variation. Consequently, these fields also share a common set of difficulties and limitations. In spite of the great su...

Omic is a term used to describe a field of study in biology that utilizes a certain type of biological data (e.g. genomics is the study of genome), while multi omics is the usage of several types of omics data. During the course we’ve mainly discussed mRNA data. In the introduction lecture other types of biological data were shown, protein and DNA data (referred to as proteomics and genomics). ...