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RCytoGPS: an R package for reading and visualizing cytogenetics data.
Abrams, Zachary B; Tally, Dwayne G; Abruzzo, Lynne V; Coombes, Kevin R.
Afiliação
  • Abrams ZB; Department of Biostatistics, Institute for Informatics, Washington University in St. Louis, St. Louis, MO 63108, USA.
  • Tally DG; Department of Biology, Indiana State University, Terre Haute, IN 47809, USA.
  • Abruzzo LV; Department of Pathology, Wexner Medical Center, The Ohio State University, Columbus, OH 43210, USA.
  • Coombes KR; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
Bioinformatics ; 37(23): 4589-4590, 2021 12 07.
Article em En | MEDLINE | ID: mdl-34601554
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. AVAILABILITY AND IMPLEMENTATION: Freely available at https://CRAN.R-project.org/package=RCytoGPS. The code for the underlying CytoGPS software can be found at https://github.com/i2-wustl/CytoGPS.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leitura / Software Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leitura / Software Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos