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optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis

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 analysi...

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Autores principales: Pei, Dong, Griffard, Rachel, Yellapu, Nanda Kumar, Nissen, Emily, Koestler, Devin C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576633/
https://www.ncbi.nlm.nih.gov/pubmed/37796801
http://dx.doi.org/10.1093/bioinformatics/btad611
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author Pei, Dong
Griffard, Rachel
Yellapu, Nanda Kumar
Nissen, Emily
Koestler, Devin C
author_facet Pei, Dong
Griffard, Rachel
Yellapu, Nanda Kumar
Nissen, Emily
Koestler, Devin C
author_sort Pei, Dong
collection PubMed
description 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.
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spelling pubmed-105766332023-10-15 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 Bioinformatics Applications Note 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. Oxford University Press 2023-10-05 /pmc/articles/PMC10576633/ /pubmed/37796801 http://dx.doi.org/10.1093/bioinformatics/btad611 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Pei, Dong
Griffard, Rachel
Yellapu, Nanda Kumar
Nissen, Emily
Koestler, Devin C
optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title_full optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title_fullStr optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title_full_unstemmed optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title_short optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
title_sort optima: an open-source r package for the tapestri platform for integrative single cell multiomics data analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576633/
https://www.ncbi.nlm.nih.gov/pubmed/37796801
http://dx.doi.org/10.1093/bioinformatics/btad611
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