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SPOCK, an R based package for high-throughput analysis of growth rate, survival, and chronological lifespan in yeast

Eric M. Small, Daniel P. Felker, Olivia C. Heath, Ryla J. Cantergiani, Christine Robbins, Mary Ann Osley, Mark A. McCormick

Translational Medicine of Aging · 2020 · ▲ 13 citations

Abstract

Plate-reader based methods for high-throughput measurement of growth rate, cellular survival, and chronological lifespan are a compelling addition to the already powerful toolbox of budding yeast Saccharomyces cerevisiae genetics. These methods have overcome many of the limits of traditional yeast biology techniques, but also present a new bottleneck at the point of data-analysis. Herein, we describe SPOCK (Survival Percentage and Outgrowth Collection Kit), an R-based package for the analysis of data created by high-throughput plate reader based methods. This package allows for the determination of chronological lifespan, cellular growth rate, and survival in an efficient, robust, and reproducible fashion.

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OpenAlex
DOI
10.1016/j.tma.2020.08.003
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2026-08-04 MST

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APA
Small, E.M., Felker, D.P., Heath, O.C., Cantergiani, R.J., Robbins, C., Osley, M.A., &amp; McCormick, M.A. (2020). SPOCK, an R based package for high-throughput analysis of growth rate, survival, and chronological lifespan in yeast. <em>Translational Medicine of Aging</em>. https://doi.org/10.1016/j.tma.2020.08.003
Vancouver
Small EM, Felker DP, Heath OC, Cantergiani RJ, Robbins C, Osley MA, et al. SPOCK, an R based package for high-throughput analysis of growth rate, survival, and chronological lifespan in yeast. Translational Medicine of Aging. 2020. doi:10.1016/j.tma.2020.08.003.
BibTeX
@article{eric2020SPOCKa, title = {SPOCK, an R based package for high-throughput analysis of growth rate, survival, and chronological lifespan in yeast}, author = {Eric M. Small and Daniel P. Felker and Olivia C. Heath and Ryla J. Cantergiani and Christine Robbins and Mary Ann Osley and Mark A. McCormick}, journal = {Translational Medicine of Aging}, year = {2020}, doi = {10.1016/j.tma.2020.08.003}, }

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