BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations.

ABSTRACT:

Motivation

High-content imaging screens provide a cost-effective and scalable way to assess cell states across diverse experimental conditions. The analysis of the acquired microscopy images involves assembling and curating raw cellular measurements into morphological profiles suitable for testing biological hypotheses. Despite being a critical step, general-purpose and adaptable tools for morphological profiling are lacking and no solution is available for the high-performance Julia programming language.

Results

Here, we introduce BioProfiling.jl, an efficient end-to-end solution for compiling and filtering informative morphological profiles in Julia. The package contains all the necessary data structures to curate morphological measurements and helper functions to transfor

SUBMITTER: Vulliard L 

PROVIDER: S-EPMC8896612 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature