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

Q2 Medicine
Eric M. Small , Daniel P. Felker , Olivia C. Heath , Ryla J. Cantergiani , Christine E. Robbins , Mary Ann Osley , Mark A. McCormick
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引用次数: 8

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.

SPOCK,一个基于R的软件包,用于酵母的高通量生长速率,存活率和按时间顺序的寿命分析
基于平板阅读器的高通量测量生长速率,细胞存活率和按时间顺序的寿命的方法是一个引人注目的添加到已经强大的出芽酵母酵母遗传学工具箱。这些方法克服了传统酵母生物学技术的许多局限性,但在数据分析方面也出现了新的瓶颈。在这里,我们描述了SPOCK (Survival Percentage and Outgrowth Collection Kit),这是一个基于r的软件包,用于分析基于高通量平板阅读器的方法产生的数据。这个包允许确定按时间顺序的寿命,细胞生长速度,和生存在一个有效的,稳健的,可重复的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Medicine of Aging
Translational Medicine of Aging Medicine-Geriatrics and Gerontology
CiteScore
5.30
自引率
0.00%
发文量
2
审稿时长
103 days
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