PhenoPlot statistics

info info

Citations per year

info

Popular tool citations

chevron_left High-throughput screening Cell phenotyping Morphometric analysis chevron_right
info

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

PhenoPlot specifications

Information


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

Download


download.png

Versioning


No version available

Maintainer


  • person_outline Chris Bakal <>

Publication for PhenoPlot

PhenoPlot citation

library_books

Multiparametric Analysis of Cell Shape Demonstrates that β PIX Directly Couples YAP Activation to Extracellular Matrix Adhesion

2017
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 […]


Want to access the full list of citations?
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