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

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.
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Contributeur : Marta Avalos <>
Soumis le : jeudi 21 décembre 2017 - 18:16:04
Dernière modification le : mardi 18 septembre 2018 - 16:24:02



Fleur Mougin, David Auber, Romain Bourqui, Gayo Diallo, Isabelle Dutour, et al.. Visualizing omics and clinical data: which challenges for dealing with their variety?. Methods, Elsevier, 2017, 〈10.1016/j.ymeth.2017.08.012〉. 〈hal-01671067〉



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