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 Genomicsjournal_title
BMC genomicsauthors
Miller CA,McMichael J,Dang HX,Maher CA,Ding L,Ley TJ,Mardis ER,Wilson RKdoi
10.1186/s12864-016-3195-zsubject
Has Abstractpub_date
2016-11-07 00:00:00pages
880issue
1issn
1471-2164pii
10.1186/s12864-016-3195-zjournal_volume
17pub_type
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