Bersanelli Matteo, Mosca Ettore, Remondini Daniel, Giampieri Enrico, Sala Claudia, Castellani Gastone, Milanesi Luciano
Department of Physics and Astronomy, Universita' di Bologna, Via B. Pichat 6/2, Bologna, 40127, Italy.
Institute of Biomedical Technologies - CNR, Via Fratelli Cervi 93, Segrate MI, 20090, Italy.
BMC Bioinformatics. 2016 Jan 20;17 Suppl 2(Suppl 2):15. doi: 10.1186/s12859-015-0857-9.
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.
We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.
需要多组学数据的综合分析方法,以便更完整、准确地描绘分子系统的动态变化。生物系统的复杂性、技术限制、大量的生物变量以及相对较少的生物样本数量,使得多组学数据集的分析成为一个具有挑战性的问题。
我们回顾了整合多组学数据集的最先进策略,重点关注数学和方法学方面。