Recent developments in high-throughput technologies have accelerated the accumulation
of massive amounts of omics data from multiple sources: genome, epigenome …

Multi-omics studies, which explore the interactions between multiple types of biological
factors, have significant advantages over single-omics analysis for their ability to provide a …

With the rapid adoption of high-throughput omic approaches to analyze biological samples
such as genomics, transcriptomics, proteomics, and metabolomics, each analysis can …

In recent years, functional genomics approaches combining genetic information with bulk
RNA-sequencing data have identified the downstream expression effects of disease …

A special collection on multi-omics data sharing, launched today at Scientific Data, offers to
the scientific community a compendium of multi-omics datasets ready for reuse, which …

The molecular mechanisms and functions in complex biological systems currently remain
elusive. Recent high-throughput techniques, such as next-generation sequencing, have …

As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …

Metabolic engineering involves the manipulation of microbes to produce desirable
compounds through genetic engineering or synthetic biology approaches. Metabolomics …

Background With the exponential growth in available biomedical data, there is a need for
data integration methods that can extract information about relationships between the data …

Breast Cancer is a disease with high risk and mortality rate associated with female health.
The multi-omics data having genome, proteome, transcriptome, metabolome data, and …