Name
Abstract | ||
|---|---|---|
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.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.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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-0891-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Bioinformatics, Genomics, Sequencing, JavaScript, Web, Visualization | Data science,Visualization,Computer science,Software,Datasets as Topic,Bioinformatics,Computer graphics,Big data,Creative visualization,The Internet,JavaScript | Journal |
Volume | Issue | ISSN |
17 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Rio Deiros | 1 | 0 | 0.34 |
| Richard A. Gibbs | 2 | 56 | 10.04 |
| Jeffrey Rogers | 3 | 14 | 1.71 |