Vitenskapelig artikkel   2017

Domanska, Diana Ewa; Vodak, Daniel; Christin, Lund-Andersen; Salvatore, Stefania; Hovig, Eivind; Sandve, Geir Kjetil

Publikasjonsdetaljer

Tidsskrift:

BMC Bioinformatics, vol. 18, p. 11, 2017

Utgiver:

BioMed Central (BMC)

Internasjonale standardnumre:

Trykt: 1471-2105
Elektronisk: 1471-2105

Lenker:

DOI: doi.org/10.1186/s12859-017-1679-8

A visualization referred to as rainfall plot has recently gained popularity in genome data analysis. The plot is mostly used for illustrating the distribution of somatic cancer mutations along a reference genome, typically aiming to identify mutation hotspots. In general terms, the rainfall plot can be seen as a scatter plot showing the location of events on the x-axis versus the distance between consecutive events on the y-axis. Despite its frequent use, the motivation for applying this particular visualization and the appropriateness of its usage have never been critically addressed in detail.