This workflow applies text mining to a museum collection in tabular format to extract from which year most objects derive and what they are. The first steps are filtering and data cleaning to put the data in correct format. Datamash allows showing how many documents from what year the museum catalogue contains. The output is a chronological table which is visualised as a bar chart. From that, the year where most items derived from is extracted. The next step filters items only from that year. The ...

In this workflow the similarity among set of search queries (e.g. genes) is analyzed based on the associated vocabulary in PubMed. The last tool is an interactive tool that enables the inspection of the data.

Associated Tutorial

This workflows is part of the tutorial Text-mining with the SimText toolset, available in the GTN

Thanks to...

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Visualisation with Circos

Associated Tutorial

This workflows is part of the tutorial Visualisation with Circos, available in the GTN

Thanks to...

Workflow Author(s): Helena Rasche, Saskia Hiltemann

Tutorial Author(s): Saskia Hiltemann, [Helena ...

Visualisation with Circos

Associated Tutorial

This workflows is part of the tutorial Visualisation with Circos, available in the GTN

Thanks to...

Workflow Author(s): Helena Rasche, Saskia Hiltemann

Tutorial Author(s): Saskia Hiltemann, [Helena ...