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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...

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Detalles Bibliográficos
Autores principales: Davis, Alexander, Gao, Ruli, Navin, Nicholas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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
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