AVOCADO: Visualization of Workflow–Derived Data Provenance for Reproducible Biomedical Research

• DOI: 10.1111/cgf.12924
• Publication Date: 2016-07-04T13:54:40Z
• Authors: H. Stitz; S. Luger; M. Streit; N. Gehlenborg
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Article

A major challenge in data-driven biomedical research lies the collection and representation of data provenance information to ensure that findings are reproducibile. In order communicate reproduce multi-step analysis workflows executed on datasets contain for dozens or hundreds samples, it is crucial be able visualize graph at different levels aggregation. Most existing approaches based node-link diagrams, which do not scale complexity typical graphs. our proposed approach, we reduce using hierarchical motif-based Based user action attributes, a modular degree-of-interest (DoI) function applied expand parts relevant user. This interest-driven adaptive approach visualization allows users review complex analyses, can files processed by numerous workflows. We have integrated into an platform captures extensive information, demonstrate its effectiveness means usage scenario.