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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10576633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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