Dynamix: Dynamic visualization by automatic selection of informative tracks from hundreds of genomic datasets

2Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Motivation: Visualization of genomic data is fundamental for gaining insights into genome function. Yet, co-visualization of a large number of datasets remains a challenge in all popular genome browsers and the development of new visualization methods is needed to improve the usability and user experience of genome browsers. Results: We present Dynamix, a JBrowse plugin that enables the parallel inspection of hundreds of genomic datasets. Dynamix takes advantage of a priori knowledge to automatically display data tracks with signal within a genomic region of interest. As the user navigates through the genome, Dynamix automatically updates data tracks and limits all manual operations otherwise needed to adjust the data visible on screen. Dynamix also introduces a new carousel view that optimizes screen utilization by enabling users to independently scroll through groups of tracks.

Cite

CITATION STYLE

APA

Monfort, M., Furlong, E. E. M., & Girardot, C. (2017). Dynamix: Dynamic visualization by automatic selection of informative tracks from hundreds of genomic datasets. In Bioinformatics (Vol. 33, pp. 2194–2196). Oxford University Press. https://doi.org/10.1093/bioinformatics/btx141

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free