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optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis.
Pei, Dong; Griffard, Rachel; Yellapu, Nanda Kumar; Nissen, Emily; Koestler, Devin C.
Afiliação
  • Pei D; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, United States.
  • Griffard R; The University of Kansas Cancer Center, Kansas City, KS 66160, United States.
  • Yellapu NK; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, United States.
  • Nissen E; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, United States.
  • Koestler DC; The University of Kansas Cancer Center, Kansas City, KS 66160, United States.
Bioinformatics ; 39(10)2023 10 03.
Article em En | MEDLINE | ID: mdl-37796801
ABSTRACT

SUMMARY:

The Tapestri platform offers DNA and protein analysis at the single-cell level. Integrating both types of data is beneficial for studying multiple cell populations in heterogeneous microenvironments, such as tumor tissues. Here, we present optima, an R package for the processing and analysis of data generated from the Tapestri platform. This package provides streamlined functionality for raw data filtering, integration, normalization, transformation, and visualization. Insights gained from the optima package help users to identify unique cell populations and uncover surface protein expression patterns. The results generated by optima help researchers elucidate dynamic changes at the single-cell level in heterogeneous microenvironments. AVAILABILITY AND IMPLEMENTATION This package is available in Github https//github.com/rachelgriffard/optima.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Multiômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Multiômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article