Studying and determining the characteristics of world entities and their causal relationships is at the core of many scientific endeavours, including the modern biological sciences. Managing and organizing biological data and knowledge have remained a major challenge for decades, mainly due to the high complexity of living systems. Moreover, advances of technologies in biology lead to perform high throughput experiments, that generate thousands of genes or gene products descriptions in one experiment [1]. The data associated to these experiments is growing in many application domains (e.g., plant biology, molecular biology, e-health) yielding to a bottleneck from data generation to their efficient management and the extraction of new valuable knowledge. In parallel, the systematic and intensive efforts of the biologist community greatly improve the understanding of cell functioning, particularly at the cellular and sub-cellular levels with the identification of new molecules, molecular mechanisms and their role in the whole-cell context [2, 3]. Finally, recent developments in single-cell technologies should further accentuate this general dynamic [4].
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