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The advances made in recent years in the field of structural biology significantly increased the throughput and complexity of data that scientists have to deal with. Combining and analyzing such heterogeneous amounts of data became a crucial time consumer in the daily tasks of scientists. However, only few efforts have been made to offer scientists an alternative to the standard compartmentalized tools they use to explore their data and that involve a regular back and forth between them. Wedoi:10.1515/jib-2018-0004 pmid:29982236 fatcat:xrbvb7bjevd5phzohpcrlwa6ci