DNAism: exploring genomic datasets on the web with Horizon Charts

BMC Bioinformatics

Software

David Rio Deiros¹  Jeffrey Rogers²  Richard A. Gibbs² 

[1] Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, USA;Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, USA;Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, USA;

关键词: Bioinformatics;    Genomics;    Sequencing;    JavaScript;    Web;    Visualization;   

DOI  :  10.1186/s12859-016-0891-2

 received in 2015-03-20, accepted in 2016-01-13,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundComputational biologists daily face the need to explore massive amounts of genomic data. New visualization techniques can help researchers navigate and understand these big data. Horizon Charts are a relatively new visualization method that, under the right circumstances, maximizes data density without losing graphical perception.ResultsHorizon Charts have been successfully applied to understand multi-metric time series data. We have adapted an existing JavaScript library (Cubism) that implements Horizon Charts for the time series domain so that it works effectively with genomic datasets. We call this new library DNAism.ConclusionsHorizon Charts can be an effective visual tool to explore complex and large genomic datasets. Researchers can use our library to leverage these techniques to extract additional insights from their own datasets.

【 授权许可】

CC BY   
© Rio Deiros et al. 2016