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Methods. 2018 Jan 1;132:3-18. doi: 10.1016/j.ymeth.2017.08.012. Epub 2017 Sep 6.

Visualizing omics and clinical data: Which challenges for dealing with their variety?

Author information

1
Univ. Bordeaux, Inserm UMR 1219, Bordeaux Population Health Research Center, Team ERIAS, F-33000 Bordeaux, France; Univ. Bordeaux, CNRS UMR 5800, LaBRI, F-33000 Bordeaux, France. Electronic address: fleur.mougin@u-bordeaux.fr.
2
Univ. Bordeaux, CNRS UMR 5800, LaBRI, F-33000 Bordeaux, France.
3
Univ. Bordeaux, Inserm UMR 1219, Bordeaux Population Health Research Center, Team ERIAS, F-33000 Bordeaux, France; Univ. Bordeaux, CNRS UMR 5800, LaBRI, F-33000 Bordeaux, France.
4
Univ. Bordeaux, Inserm UMR 1219, Bordeaux Population Health Research Center, Team ERIAS, F-33000 Bordeaux, France; CHU de Bordeaux, Pole de sante publique, Service d'information medicale, F-33000 Bordeaux, France.
5
Univ. Bordeaux, Inserm UMR 1219, INRIA SISTM, F-33000 Bordeaux, France; CHU de Bordeaux, Pole de sante publique, Service d'information medicale, F-33000 Bordeaux, France. Electronic address: rodolphe.thiebaut@u-bordeaux.fr.

Abstract

Life sciences are currently going through a great number of transformations raised by the in-going revolution in high-throughput technologies for the acquisition of data. The integration of their high dimensionality, ranging from omics to clinical data, is becoming one of the most challenging stages. It involves inter-disciplinary developments with the aim to move towards an enhanced understanding of human physiology for caring purposes. Biologists, bioinformaticians, physicians and other experts related to the healthcare domain have to accompany each step of the analysis process in order to investigate and expertise these various data. In this perspective, methods related to information visualization are gaining increasing attention within life sciences. The softwares based on these methods are now well recognized to facilitate expert users' success in carrying out their data analysis tasks. This article aims at reviewing the current methods and techniques dedicated to information visualisation and their current use in software development related to omics or/and clinical data.

PMID:
28887085
DOI:
10.1016/j.ymeth.2017.08.012
[Indexed for MEDLINE]

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