DNAism: exploring genomic datasets on the web with Horizon Charts.

TitleDNAism: exploring genomic datasets on the web with Horizon Charts.
Publication TypeJournal Article
Year of Publication2016
AuthorsDeiros, DRio, Gibbs, RA, Rogers, J
JournalBMC Bioinformatics
Date Published2016 Jan 27
KeywordsComputational Biology, Computer Graphics, Datasets as Topic, Gene Library, Genome, Human, Genomics, Humans, Internet, Software

BACKGROUND: Computational 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.

RESULTS: Horizon 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.

CONCLUSIONS: Horizon 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.

Alternate JournalBMC Bioinformatics
PubMed ID26819101
PubMed Central IDPMC4729118
Grant ListP51 RR013986 / RR / NCRR NIH HHS / United States
R24 OD011173 / OD / NIH HHS / United States
U54 HG003273 / HG / NHGRI NIH HHS / United States
U54-HG003273 / HG / NHGRI NIH HHS / United States