To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …

Background Multi-omics experimental approaches are becoming common practice in
biological and medical sciences underlining the need to design new integrative techniques …

Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine
two or more omics data sets to aid in data analysis, visualization and interpretation to …

Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …

Background Studies on multiple modalities of omics data such as transcriptomics, genomics
and proteomics are growing in popularity, since they allow us to investigate complex …

Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

With the advancement of next-generation sequencing and mass spectrometry, there is a
growing need for the ability to merge biological features in order to study a system as a …

Biological systems function through complex interactions between various 'omics
(biomolecules), and a more complete understanding of these systems is only possible …

The number of studies that collect and publish large-scale multiomics data is rapidly
increasing. So far, we have not realized the full potential of the biological insights that can be …

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 …