We are living at a time that allows the generation of mass data in almost any field of science.For instance, in pharmacogenomics, there exist a number of big data repositories, e.g., the Library ofIntegrated Network-based Cellular Signatures (LINCS) that provide millions of measurements on thegenomics level. However, to translate these data into meaningful information, the data need to beanalyzable. The first step for such an analysis is the deliberate selection of subsets of raw data forstudying dedicated research questions. Unfortunately, this is a non-trivial problem when millions ofindividual data files are available with an intricate connection structure induced by experimentaldependencies. In this paper, we argue for the need to introduce such search capabilities for biggenomics data repositories with a specific discussion about LINCS. Specifically, we suggest theintroduction of smart interfaces allowing the exploitation of the connections among individual rawdata files, giving raise to a network structure, by graph-based searches.
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