PhenoPlot statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Morphometric analysis Cell phenotyping High-throughput screening chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

PhenoPlot specifications


Unique identifier OMICS_22649
Name PhenoPlot
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB
Computer skills Medium
Stability Stable
Maintained Yes



Add your version


  • person_outline Chris Bakal <>

Publication for PhenoPlot

PhenoPlot in publication

PMCID: 5289939
PMID: 28065575
DOI: 10.1016/j.cels.2016.11.015

[…] of variation when interpreting imaging data., this strategy identified both known and novel yap regulators. c shows average cell morphologies and subcellular yap intensities represented as glyphs (phenoplot) (), plotted by the number of cells per well (x axis) and yapdiff (y axis). lats1 and lats2 knockdown cells had high yapdiff, consistent with their known inhibitory functions (c). depletion […]

To access a full list of publications, you will need to upgrade to our premium service.

PhenoPlot institution(s)
Dynamical Cell Systems, Division of Cancer Biology, Institute of Cancer Research, London, UK
PhenoPlot funding source(s)
Supported by grants from the BBSRC (BB/J017183/1) and CRUK (C37275/A13478).

PhenoPlot reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review PhenoPlot