John Arevalo

Dec 4, 2024 | biorxiv.org | Patrick Byrne |Srinivas Niranj Chandrasekaran |Eric Alix |John Arevalo

AbstractCell Painting images offer valuable insights into the state of a cell and enable many biological applications, but publicly available arrayed datasets only include hundreds of genes perturbed. The JUMP (Joint Undertaking in Morphological Profiling) Cell Painting Consortium perturbed roughly 75% of the protein-coding genome in human U-2 OS cells, generating a rich resource of single-cell images and extracted features.

Aug 2, 2024 | nature.com | John Arevalo |Ellen Su |Jessica D. Ewald |Anne Carpenter

AbstractHigh-throughput image-based profiling platforms are powerful technologies capable of collecting data from billions of cells exposed to thousands of perturbations in a time- and cost-effective manner. Therefore, image-based profiling data has been increasingly used for diverse biological applications, such as predicting drug mechanism of action or gene function.

Jul 8, 2024 | zenodo.org | Kamil Slowikowski |John Arevalo |Jonathan Manning

Published July 8, 2024 | Version v0.0.10 Software Open Use hatch instead of setup.py to ease development and include multiple authors. Name Size md5:9c36c000a5b08b7b8054cef13b0090ab 2.0 MB Software: https://github.com/slowkow/harmonypy/tree/v0.0.10 (URL)