Visualizing tumor evolution with the fishplot package for R.

Abstract:

BACKGROUND:Massively-parallel sequencing at depth is now enabling tumor heterogeneity and evolution to be characterized in unprecedented detail. Tracking these changes in clonal architecture often provides insight into therapeutic response and resistance. In complex cases involving multiple timepoints, standard visualizations, such as scatterplots, can be difficult to interpret. Current data visualization methods are also typically manual and laborious, and often only approximate subclonal fractions. RESULTS:We have developed an R package that accurately and intuitively displays changes in clonal structure over time. It requires simple input data and produces illustrative and easy-to-interpret graphs suitable for diagnosis, presentation, and publication. CONCLUSIONS:The simplicity, power, and flexibility of this tool make it valuable for visualizing tumor evolution, and it has potential utility in both research and clinical settings. The fishplot package is available at https://github.com/chrisamiller/fishplot .

journal_name

BMC Genomics

journal_title

BMC genomics

authors

Miller CA,McMichael J,Dang HX,Maher CA,Ding L,Ley TJ,Mardis ER,Wilson RK

doi

10.1186/s12864-016-3195-z

subject

Has Abstract

pub_date

2016-11-07 00:00:00

pages

880

issue

1

issn

1471-2164

pii

10.1186/s12864-016-3195-z

journal_volume

17

pub_type

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