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==<span style="color:DarkGreen;">Growing complex biological shapes from patterns of gene expression==
==<span style="color:DarkGreen;">Growing complex biological shapes from patterns of gene expression</span>==
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|width="10%"| <imgicon>GPT_thumbnail2.png|120px|GFtbox</imgicon>
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For modelling the growth of shapes.  <br><br>
[[GFtbox|'''What? How? Where?''']]<br><br>
[[GFtbox Tutorial pages|'''''Tutorials''''': from the beginning]]<br><br>
[[GFtbox Example pages|'''''Examples''''': from publications]]<br><br>
 
[https://sourceforge.net/p/gftbox/ <span style="color: Gray">'''''Download GFTbox''''' from SourceForge</span>]<br>
<small><span style="color: Gray">'''''Download GFTbox project files:''''' </span></small><br>
[http://cmpdartsvr1.cmp.uea.ac.uk/downloads/software/OpenSourceDownload_Science_Paper_2012/GPT_ArabidopsisLeafModel_20120207.zip <small><span style="color: Gray">'''''Leaves''''' Kuchen et al 2012</span></small>]<br>
[http://cmpdartsvr1.cmp.uea.ac.uk/downloads/software/OpenSourceDownload_PLoS_Kennaway_2011/Kennaway-etal-2011.zip <small><span style="color: Gray">'''''Principles and concepts''''' Kennaway et al 2011</span></small>]<br>
[http://cmpdartsvr1.cmp.uea.ac.uk/downloads/software/OpenSourceDownload_PLoS_Green_2011/Green-etal-2010.zip <small><span style="color: Gray">'''''Snapdragon''''' Green et al 2011, Cui et al 2010</span></small>]<br><br>
 
[[Ready Reference Manual|'''''Ready Reference''''' Manual]]<br><br>
(PC, Mac, Linux, uses Matlab<br>no Mathworks toolboxes needed<br>[http://www.mathworks.com/products/matlab/tryit.html Matlab 30 day free trial] and <br>[http://www.mathworks.com/academia/student_version/?s_cid=global_nav student edition])<br><br>
 
|width="50%"|  ''GFtbox'' is an implementation of the Growing Polarised Tissue Framework for understanding and modelling the relationship between gene activity and the growth of shapes such leaves, flowers and animal embryos ([http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002071 Kennaway et al 2011]). <br><br>The GPT-framework was used to capture an understanding of (to model) the growing leaf (Kuchen et al 2012) and Snapdragon flower [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000537 Green et al 2011]. The Snapdragon model was validated by comparing the results with other mutant and transgenic flowers [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000538 Cui et al 2010.]<br><br>The icon shows an asymmetrical outgrowth. Conceptually, it is specifed by two independent patterns under genetic control: a pattern of growth and a pattern of organisers. The outgrowth arises from a region of extra overall growth. Growth is aligned along axes set by two interacting systems. Organisers at the ends of the mesh create a lengthwise gradient. This gradient interacts with the second due to an organiser that generates polariser in a region that becomes the tip of the outgrowth. ([http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002071 Kennaway et al 2011])
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The growth of a complex ''snapdragon flower shape''. Key to the model, is an hypothesis on'' how organisers control the axes'' along which growth occurs. The organisers are shown in cyan and green. On the right are the shapes of two symmetrical mutants computed from the same model (hypotheses).<br><br>
The Growing Polarised Tissue Framework for understanding and modelling the relationship between gene activity and the growth of shapes such leaves, flowers and animal embryos ([http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002071 Kennaway et al 2011]). The GPT-framework was used to capture an understanding of (to model) the growing leaf (Kuchen et al 2012) and Snapdragon flower [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000537 Green et al 2011]. The Snapdragon model was validated by comparing the results with other mutant and transgenic flowers [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000538 Cui et al 2010.]<br><br>


<span style="color:DarkGreen;">[[Software#Quantitative understanding of growing shapes: GFtbox|More details on growth ]]</span><br><br>
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Revision as of 10:51, 21 May 2012

Bangham Lab - Home

Current activity: a collaboration with the CoenLab with the aim of understanding how patterns of gene activity in biological organs influence the developing shape. The BanghamLab is focussed on the conceptual underpinning: concepts captured in computational growth models, experimental data visualisation and analysis.

Computational biology toolboxes

Growing complex biological shapes from patterns of gene expression

LabelledCropped GPT Snapdragon 2010-000340-0001.png LabelledCropped GPT Snapdragon 2010-000490-0001.png LabelledCropped GPT Snapdragon 2010-000570-0002.png LabelledCropped GPT Snapdragon 2010-000570-0007.png LabelledCropped GPT Snapdragon 2010-000570-0003 double.png LabelledCropped GPT Snapdragon 2010-000570-0002 triple.png

The growth of a complex snapdragon flower shape. Key to the model, is an hypothesis on how organisers control the axes along which growth occurs. The organisers are shown in cyan and green. On the right are the shapes of two symmetrical mutants computed from the same model (hypotheses).

The Growing Polarised Tissue Framework for understanding and modelling the relationship between gene activity and the growth of shapes such leaves, flowers and animal embryos (Kennaway et al 2011). The GPT-framework was used to capture an understanding of (to model) the growing leaf (Kuchen et al 2012) and Snapdragon flower Green et al 2011. The Snapdragon model was validated by comparing the results with other mutant and transgenic flowers Cui et al 2010.

More details on growth

Cs0prxz0.png GL2 GUS.png Leaf trichomes.png Leaf5.png LFY GUS Arabidopsis inflorescence 512.png OleosinSeed.png Cs0prxz0.png GL2 GUS.png Leaf trichomes.png Leaf5.png LFY GUS Arabidopsis inflorescence 512.png OleosinSeed.png OPT Leaf copy.png Seedling copy.png Senecio floret copy.png Snapdragon Peloric mutant.png Tissue.png Z9r3j2yx.png Zeds48ci.png 1896 wh txr light.png Ara flower.png Arableaf ath8 OPT.png Arableaf young ath8 OPT.png Enhby820.png

VolViewer

<imgicon>VolViewer-logo.png|120px|VolViewer</imgicon> For viewing and measuring biological images.

What? How? Where?

Tutorials: from the beginning

Download

(Windows, Mac, Linux)

Output from VolViewer has appeared in:
Front cover: Handbook of Plant Science | Front cover: The Plant Cell | Royal Microscopical Society: Infocus Magazine | Bundled with the Bioptonic 3001 scanner: Bioptonics Viewer | The Guardian newspaper: 3D Fruit fly | Qt Ambassador program | Triffid Nurseries website

VolViewer uses OpenGL and Qt to provide a user friendly application to interactively explore and quantify multi-dimensional biological images. It has been successfully used in our lab to explore and quantify confocal microscopy and optical projection tomography images. It is open-source and is also compatible with the Open Microscopy Environment (OME).


AAMToolbox

<imgicon>AAMToolbox_logo.jpg|120px|AAMToolbox</imgicon> For analysing populations of shapes and colours within the shapes using principal component analysis.

What? How? Where?

Tutorials: from the beginning

Download

(PC, Mac, Linux, uses Matlab
no Mathworks toolboxes needed
Matlab 30 day free trial and
student edition)

 The AAMToolbox enables the user analyse the shape and colour of collections of similar objects. Originally developed to analyse face shapes for lipreading, we have used it extensively for analysing the shapes of leaves and petals. The analysis can be applied to art, for example, finding systematic differences between portraits by, for example, Rembrandt and Modigliani.
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