Motivation: The consistent amount of different types of omics data requires novel methods of analysis and data integration. In this work we describe Regression2Net, a computational approach to analyse gene expression and methylation profiles via regression analysis and network-based techniques. Results: We identified 284 and 447 unique candidate genes potentially associated to the Glioblastoma ...

Imaging genomics is an emerging research field, where integrative analysis of imaging and omics data is performed to provide new insights into the phenotypic characteristics and genetic mechanisms of normal and/or disordered biological structures and functions, and to impact the development of new diagnostic, therapeutic and preventive approaches. The Imaging Genomics Session at PSB 2017 aims t...

"Omics" is the application of genomics, transcriptomics, proteomics, and metabolomics in biological research. Over the years, tremendous amounts of biological information has been gathered regarding the changes in gene, mRNA and protein expressions as well as metabolites in different physiological conditions and regulations, which has greatly advanced our understanding of the regulation of many...

“Omics” based sciences have been recently acquiring significant attraction by the scientific community. Diet and dietary constituents have shown an impact on human health and in the areas such as the nutrition, nutrient-gene interaction, nutritional biomarkers and some nonessential nutrients and bioactive food components that can alter genetic and epigenetic events in the human body. The nutrie...

Pancreatic Disorders & Therapy is an open access journal of the OMICS group. Open access journals have revolutionized the research world in general and the surgical research in particular and became an important tool for researchers, clinicians and the whole healthcare community. Open access journals allow increased visibility and therefore-augmented impact for our work. The OMICS group succeed...

Multivariate approaches have been applied successfully in the analysis of high throughput ”omics”data. Principal component analysis (PCA) has been shown to be useful in exploratory analysis of linear trends in biological data [1]. Culhane and colleagues employed a two table coupling method (co-inertia analysis, CIA) to examine covariant gene expression patterns between microarray datasets from ...

Multiple omics data are rapidly becoming available, necessitating the use of new methods to integrate different technologies and interpret the results arising from multimodal assaying. The MathIOmica package for Mathematica provides one of the first extensive introductions to the use of the Wolfram Language to tackle such problems in bioinformatics. The package particularly addresses the necess...

By providing useful tools to study host-pathogen interactions, next-generation omics has recently enabled the study of gene expression changes in both pathogen and infected host simultaneously. However, since great discriminative power is required to study pathogen and host simultaneously throughout the infection process, the depth of quantitative gene expression profiling has proven to be unsa...

In biomedical literature, numerous prediction models for clinical outcomes have been developed based either on clinical data or, more recently, on high-throughput molecular data (omics data). Prediction models based on both types of data, however, are less common, although some recent studies suggest that a suitable combination of clinical and molecular information may lead to models with bette...

During its life cycle, the unicellular parasite Entamoeba histolytica is challenged by a wide variety of environmental stresses, such as fluctuation in glucose concentration, changes in gut microbiota composition, and the release of oxidative and nitrosative species from neutrophils and macrophages. The best mode of survival for this parasite is to continuously adapt itself to the dynamic envir...