PolNet statistics

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Associated diseases

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PolNet specifications

Information


Unique identifier OMICS_25786
Name PolNet
Software type Pipeline/Workflow
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB
License GNU General Public License version 3.0
Computer skills Medium
Stability Stable
Requirements
argparse, nompy, csv, matplotlib, lxlml, HemLB, VTK installation
Maintained Yes

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Maintainers


  • person_outline Miguel Bernabeu <>
  • person_outline Claudio Franco <>

Publication for PolNet

PolNet in publication

PMCID: 4798962
PMID: 26845523
DOI: 10.7554/eLife.07727.021

[…] control mice for golgi, lumen, and ec nuclei and extracted maps of axial polarity for entire retinal vascular networks (), in a novel analysis methodology that we call hereafter polarity network (polnet) analysis ( and ). to measure efficiency of endothelial polarization in response to flow, we calculated the angle between the axial polarity vectors and the predicted flow vectors (). similar […]


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PolNet institution(s)
Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK; Centre for Computational Science, Department of Chemistry, University College London, London, UK; Electron Microscopy Science Technology Platform, The Francis Crick Institute, Lincolns Inn Fields Laboratories, London, UK; EPCC, School of Physics and Astronomy, The University of Edinburgh, James Clerk Maxwell Building, Edinburgh, UK; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal; Max-Delbruck Center for Molecular Medicine, Berlin, Germany; Vascular Patterning Laboratory, Vesalius Research Center, Leuven, Belgium; Department of Oncology, Vascular Patterning Laboratory, Vesalius Research Center, Leuven, Belgium; German Center for Cardiovascular Research, Berlin, Germany; Berlin Institute of Health, Berlin, Germany
PolNet funding source(s)
Supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001999) and the UK Medical Research Council (FC001999) and the Wellcome Trust (FC001999) and European Research Council (ERC) consolidator grant Reshape (311719) and by the British Council BIRAX initiative and an ERC starting grant (679368), the H2020-Twinning grant (692322) and the Fundacao para a Ciencia e a Tecnologia funding grants: IF/00412/2012; EXPL-BEX-BCM-2258-2013; PRECISE-LISBOA-01-0145-FEDER-016394 and LISBOA-01-0145-FEDER-007391, project cofounded by FEDER, through POR Lisboa 2020 - Programa Operacional Regional de Lisboa, PORTUGAL 2020, and Fundacao para a Ciencia e a Tecnologia and from the UK Engineering and Physical Sciences Research Council under the project” UK Consortium on Mesoscale Engineering Sciences (UKCOMES)” (Grant No. EP/L00030X/1).

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