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Article

Pyphe, a python toolbox for assessing microbial growth and cell viability in high-throughput colony screens.

eLife - 16 Jun 2020

Kamrad Stephan, Rodríguez-López María, Cotobal Cristina, Correia-Melo Clara, Ralser Markus, Bähler Jürg

Abstract excerpt

Microbial fitness screens are a key technique in functional genomics. We present an all-in-one solution, pyphe, for automating and improving data analysis pipelines associated with large-scale fitness screens, including image acquisition and quantification, data normalisation, and statistical analysis. Pyphe is versatile and processes fitness data from colony sizes, viability scores from phloxine B staining or...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 32543370
DOI: 10.7554/eLife.55160
PMCID: PMC7297533

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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