Your browser doesn't support javascript.
loading
Growth Score: a single metric to define growth in 96-well phenotype assays.
Cuevas, Daniel A; Edwards, Robert A.
Afiliação
  • Cuevas DA; Computational Science Research Center, San Diego State University, San Diego, CA, USA.
  • Edwards RA; Computational Science Research Center, San Diego State University, San Diego, CA, USA.
PeerJ ; 6: e4681, 2018.
Article em En | MEDLINE | ID: mdl-29686949
ABSTRACT
High-throughput phenotype assays are a cornerstone of systems biology as they allow direct measurements of mutations, genes, strains, or even different genera. High-throughput methods also require data analytic methods that reduce complex time-series data to a single numeric evaluation. Here, we present the Growth Score, an improvement on the previous Growth Level formula. There is strong correlation between Growth Score and Growth Level, but the new Growth Score contains only essential growth curve properties while the formula of the previous Growth Level was convoluted and not easily interpretable. Several programs can be used to estimate the parameters required to calculate the Growth Score metric, including our PMAnalyzer pipeline.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article