An Interactive Analysis and Exploration Tool for Epigenomic Data

In this design study, we present an analysis and ion of the data and tasks related to the domain of epigenomics, and the design and implementation of an interactive tool to facilitate data analysis and visualization in this domain. Epigenomic data can be grouped into subsets either by k‐means cluste...

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Bibliographic Details
Published in:Computer graphics forum Vol. 32; no. 3pt1; pp. 91 - 100
Main Authors: Younesy, H., Nielsen, C.B., Möller, T., Alder, O., Cullum, R., Lorincz, M.C., Karimi, M.M., Jones, S.J.M.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.06.2013
Subjects:
Analysis
Biologists
Clusters
Computer graphics
Data processing
Design engineering
Environmental monitoring
Exploration
H.5.m [Information Systems]: Information Interfaces and Presentation-Miscellaneous
I.3.8 [Computing Methodologies]: Computer Graphics-Applications
Interactive
Studies
Tasks
Visualization
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:In this design study, we present an analysis and ion of the data and tasks related to the domain of epigenomics, and the design and implementation of an interactive tool to facilitate data analysis and visualization in this domain. Epigenomic data can be grouped into subsets either by k‐means clustering or by querying for combinations of presence or absence of signal (on/off) in different epigenomic experiments. These steps can easily be interleaved and the comparison of different workflows is explicitly supported. We took special care to contain the exponential expansion of possible on/off combinations by creating a novel querying interface. An interactive heat map facilitates the exploration and comparison of different clusters. We validated our iterative design by working closely with two groups of biologists on different biological problems. Both groups quickly found new insight into their data as well as claimed that our tool would save them several hours or days of work over using existing tools.
Bibliography:istex:92ADC240469A0FF201324094E0A7DFC39E1BCF0B
ark:/67375/WNG-G2HG82PN-2
ArticleID:CGF12096
Joint first author
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12096