Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

The growing number of multi-omics studies demands clear conceptual workflows coupled
with easy-to-use software tools to facilitate data analysis and interpretation. This protocol …

A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …

Abstract Characterization and integration of the genome, epigenome, transcriptome,
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …

Genome-scale metabolic models (GEMs) enable the mathematical simulation of the
metabolism of archaea, bacteria, and eukaryotic organisms. GEMs quantitatively define a …

Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …

Adoption of high-content omic technologies in clinical studies, coupled with computational
methods, has yielded an abundance of candidate biomarkers. However, translating such …

The computational metabolomics field brings together computer scientists, bioinformaticians,
chemists, clinicians, and biologists to maximize the impact of metabolomics across a wide …

PaintOmics is a web server for the integrative analysis and visualisation of multi-omics
datasets using biological pathway maps. PaintOmics 4 has several notable updates that …

To study mental illness and health, in the past researchers have often broken down their
complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …