RCytoGPS: An R package for reading and visualizing cytogenetics data

Zachary B. Abrams, Dwayne G. Tally, Lynne V. Abruzzo, Kevin R. Coombes

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Summary: Cytogenetics data, or karyotypes, are among the most common clinically used forms of genetic data. Karyotypes are stored as standardized text strings using the International System for Human Cytogenomic Nomenclature (ISCN). Historically, these data have not been used in large-scale computational analyses due to limitations in the ISCN text format and structure. Recently developed computational tools such as CytoGPS have enabled large-scale computational analyses of karyotypes. To further enable such analyses, we have now developed RCytoGPS, an R package that takes JSON files generated from CytoGPS.org and converts them into objects in R. This conversion facilitates the analysis and visualizations of karyotype data. In effect this tool streamlines the process of performing large-scale karyotype analyses, thus advancing the field of computational cytogenetic pathology.

Original languageEnglish
Pages (from-to)4589-4590
Number of pages2
Issue number23
StatePublished - Dec 1 2021


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