The thorny complexities of visualization research for clinical settings: A case study from genomics

Frontiers in Bioinformatics

Bioinformatics

Anders Ynnerman¹  Emilia Ståhlbom²  Claes Lundström³  Jesper Molin⁴ 

[1] Department of Science and Technology, Linköping University, Linköping, Sweden;Department of Science and Technology, Linköping University, Linköping, Sweden;Sectra AB, Linköping, Sweden;Department of Science and Technology, Linköping University, Linköping, Sweden;Sectra AB, Linköping, Sweden;Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden;Sectra AB, Linköping, Sweden;

关键词: visualization;    bioinformatics;    genomics;    next-generation sequencing;    copy number variant (CNV);    visual analytics (VA);    cancer;    rare diseases;   

DOI  :  10.3389/fbinf.2023.1112649

 received in 2022-11-30, accepted in 2023-03-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

In this perspective article we discuss a certain type of research on visualization for bioinformatics data, namely, methods targeting clinical use. We argue that in this subarea additional complex challenges come into play, particularly so in genomics. We here describe four such challenge areas, elicited from a domain characterization effort in clinical genomics. We also list opportunities for visualization research to address clinical challenges in genomics that were uncovered in the case study. The findings are shown to have parallels with experiences from the diagnostic imaging domain.

【 授权许可】

Unknown   
Copyright © 2023 Ståhlbom, Molin, Ynnerman and Lundström.