title: Mineotaur: a tool for high-content microscopy screen sharing and visual analytics.
abstract: High-throughput/high-content microscopy-based screens are powerful tools for functional genomics, yielding intracellular information down to the level of single-cells for thousands of genotypic conditions. However, accessing their data requires specialized knowledge and most often that data is no longer analyzed after initial publication. We describe Mineotaur ( http://www.mineotaur.org ), a open-source, downloadable web application that allows easy online sharing and interactive visualisation of large screen datasets, facilitating their dissemination and further analysis, and enhancing their impact.
authors.affiliation: Genetics Department, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK. ba328@cam.ac.uk.
authors.forename: Bálint
authors.initials: B
authors.lastname: Antal
authors.affiliation: Genetics Department, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK. ac744@cam.ac.uk.
authors.forename: Anatole
authors.initials: A
authors.lastname: Chessel
authors.affiliation: Genetics Department, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK. cre20@cam.ac.uk.
authors.forename: Rafael E
authors.initials: RE
authors.lastname: Carazo Salas
mesh_terms: D066264:Datasets as Topic; D033181:Information Dissemination / Q000379:methods*; D008853:Microscopy / Q000379:methods; D012984:Software