Through the developments of Omics technologies and dissemination of large-scale
datasets, such as those from The Cancer Genome Atlas, Alzheimer's Disease Neuroimaging …

Fast-developing single-cell multimodal omics (scMulti-omics) technologies enable the
measurement of multiple modalities, such as DNA methylation, chromatin accessibility, RNA …

Multi-omics approaches have developed as a profitable technique for plant systems, a
popular method in medical and biological sciences underlining the necessity to outline new …

Data analysis and interpretation remain a critical bottleneck in current multi-omics studies.
Here, we introduce OmicsAnalyst, a user-friendly, web-based platform that allows users to …

Cancer is the quintessential complex disease. As technologies evolve faster each day, we
are able to quantify the different layers of biological elements that contribute to the …

In this review, we focus on bioinformatic oncology as an integrative discipline that
incorporates knowledge from the mathematical, physical, and computational fields to further …

Highlights•High content and physiological readouts allow precise definition of the system-
level metabolic state of cells or tissues.•Constraint-based metabolic models provide a …

Introduction Mass spectrometry-based proteomics reveals dynamic molecular signatures
underlying phenotypes reflecting normal and perturbed conditions in living systems …

Recent technological advances and international efforts, such as The Cancer Genome Atlas
(TCGA), have made available several pan-cancer datasets encompassing multiple omics …

Background Single sample pathway analysis (ssPA) transforms molecular level omics data
to the pathway level, enabling the discovery of patient-specific pathway signatures …