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

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 b...

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Bibliographic Details
Main Authors: Eric M. Small, Daniel P. Felker, Olivia C. Heath, Ryla J. Cantergiani, Christine E. Robbins, Mary Ann Osley, Mark A. McCormick
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-01-01
Series:Translational Medicine of Aging
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468501120300201
Description
Summary: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.
ISSN:2468-5011