Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jan 20;17 Suppl 2(Suppl 2):15.
doi: 10.1186/s12859-015-0857-9.

Methods for the integration of multi-omics data: mathematical aspects

Matteo Bersanelli  1   2 , Ettore Mosca  3 , Daniel Remondini  4 , Enrico Giampieri  5 , Claudia Sala  6 , Gastone Castellani  7 , Luciano Milanesi  8
Affiliations

Methods for the integration of multi-omics data: mathematical aspects

Matteo Bersanelli et al. BMC Bioinformatics. .

Abstract

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 of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem.

Results and conclusions: We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Overview of multi-omics methods. Methods are placed in boxes according to whether they make use of networks and bayesian theory; the types of omics that each method takes in input (or has been applied to in a case study) is indicated between parentheses. Grey: network-free, non-bayesian methods; yellow: network-free, bayesian methods; blue: network-based, non-bayesian methods; green: network-based bayesian methods. Abbreviations: GEN = genome, CC = ChIP-chip, CN = copy number variations, DM = DNA methylation, DS = DNA sequence, Hi-C = genome-wide data of chromosomal interactions, LOH = loss of heterozigosity, GT = genotype, GE = gene expression, PE = protein expression
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Berger B, Peng J, Singh M. Computational solutions for omics data. Nat Rev Genet. 2013;14(5):333–46. doi: 10.1038/nrg3433. - DOI - PMC - PubMed
    1. Kristensen VN, Lingjærde OC, Russnes HG, Vollan HKM, Frigessi A, Børresen-Dale A-L. Principles and methods of integrative genomic analyses in cancer. Nat Rev Cancer. 2014;14(5):299–313. doi: 10.1038/nrc3721. - DOI - PubMed
    1. Lê Cao K-A, González I, Déjean S. Integromics: an r package to unravel relationships between two omics datasets. Bioinformatics. 2009;25(21):2855–6. doi: 10.1093/bioinformatics/btp515. - DOI - PMC - PubMed
    1. Li W, Zhang S, Liu C-C, Zhou XJ. Identifying multi-layer gene regulatory modules from multi-dimensional genomic data. Bioinformatics. 2012;28(19):2458–66. doi: 10.1093/bioinformatics/bts476. - DOI - PMC - PubMed
    1. Barabási A-L, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011;12(1):56–68. doi: 10.1038/nrg2918. - DOI - PMC - PubMed

Publication types