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SCOPIT: sample size calculations for single-cell sequencing experiments
BACKGROUND: In single cell DNA and RNA sequencing experiments, the number of cells to sequence must be decided before running an experiment, and afterwards, it is necessary to decide whether sufficient cells were sampled. These questions can be addressed by calculating the probability of sampling at...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852764/ https://www.ncbi.nlm.nih.gov/pubmed/31718533 http://dx.doi.org/10.1186/s12859-019-3167-9 |
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author | Davis, Alexander Gao, Ruli Navin, Nicholas E. |
author_facet | Davis, Alexander Gao, Ruli Navin, Nicholas E. |
author_sort | Davis, Alexander |
collection | PubMed |
description | BACKGROUND: In single cell DNA and RNA sequencing experiments, the number of cells to sequence must be decided before running an experiment, and afterwards, it is necessary to decide whether sufficient cells were sampled. These questions can be addressed by calculating the probability of sampling at least a defined number of cells from each subpopulation (cell type or cancer clone). RESULTS: We developed an interactive web application called SCOPIT (Single-Cell One-sided Probability Interactive Tool), which calculates the required probabilities using a multinomial distribution (www.navinlab.com/SCOPIT). In addition, we created an R package called pmultinom for scripting these calculations. CONCLUSIONS: Our tool for fast multinomial calculations provide a simple and intuitive procedure for prospectively planning single-cell experiments or retrospectively evaluating if sufficient numbers of cells have been sequenced. The web application can be accessed at navinlab.com/SCOPIT. |
format | Online Article Text |
id | pubmed-6852764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68527642019-11-20 SCOPIT: sample size calculations for single-cell sequencing experiments Davis, Alexander Gao, Ruli Navin, Nicholas E. BMC Bioinformatics Software BACKGROUND: In single cell DNA and RNA sequencing experiments, the number of cells to sequence must be decided before running an experiment, and afterwards, it is necessary to decide whether sufficient cells were sampled. These questions can be addressed by calculating the probability of sampling at least a defined number of cells from each subpopulation (cell type or cancer clone). RESULTS: We developed an interactive web application called SCOPIT (Single-Cell One-sided Probability Interactive Tool), which calculates the required probabilities using a multinomial distribution (www.navinlab.com/SCOPIT). In addition, we created an R package called pmultinom for scripting these calculations. CONCLUSIONS: Our tool for fast multinomial calculations provide a simple and intuitive procedure for prospectively planning single-cell experiments or retrospectively evaluating if sufficient numbers of cells have been sequenced. The web application can be accessed at navinlab.com/SCOPIT. BioMed Central 2019-11-12 /pmc/articles/PMC6852764/ /pubmed/31718533 http://dx.doi.org/10.1186/s12859-019-3167-9 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Davis, Alexander Gao, Ruli Navin, Nicholas E. SCOPIT: sample size calculations for single-cell sequencing experiments |
title | SCOPIT: sample size calculations for single-cell sequencing experiments |
title_full | SCOPIT: sample size calculations for single-cell sequencing experiments |
title_fullStr | SCOPIT: sample size calculations for single-cell sequencing experiments |
title_full_unstemmed | SCOPIT: sample size calculations for single-cell sequencing experiments |
title_short | SCOPIT: sample size calculations for single-cell sequencing experiments |
title_sort | scopit: sample size calculations for single-cell sequencing experiments |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852764/ https://www.ncbi.nlm.nih.gov/pubmed/31718533 http://dx.doi.org/10.1186/s12859-019-3167-9 |
work_keys_str_mv | AT davisalexander scopitsamplesizecalculationsforsinglecellsequencingexperiments AT gaoruli scopitsamplesizecalculationsforsinglecellsequencingexperiments AT navinnicholase scopitsamplesizecalculationsforsinglecellsequencingexperiments |