Background Methods for the integrative analysis of multi-omics data are required to draw a
more complete and accurate picture of the dynamics of molecular systems. The complexity …

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 …

Advances in omics technologies allow for holistic studies into biological systems. These
studies rely on integrative data analysis techniques to obtain a comprehensive view of the …

Data are the most important elements of bioinformatics: Computational analysis of
bioinformatics data, in fact, can help researchers infer new knowledge about biology …

Motivation: With the availability of many 'omics' data, such as transcriptomics, proteomics or
metabolomics, the integrative or joint analysis of multiple datasets from different technology …

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 …

Metabolomics is a rapidly growing field consisting of the analysis of a large number of
metabolites at a system scale. The two major goals of metabolomics are the identification of …

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 …