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<span style="color: DarkGreen">'''Current activity: a collaboration''' with the [http://rico-coen.jic.ac.uk/index.php/Main_Page 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.</span> | |||
=<span style="color:DarkGreen;">Computational biology toolboxes= | =<span style="color:DarkGreen;">Computational biology toolboxes= | ||
==<span style="color:DarkGreen;">GFtbox== | ==<span style="color:DarkGreen;">GFtbox== | ||
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(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> | (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> | ||
Comment on results. [http://www.the-scientist.com/2011/4/1/18/1/ R. Grant (2011) 'Taking Shape' TheScientist, 25:18] | Comment on results. [http://www.the-scientist.com/2011/4/1/18/1/ R. Grant (2011) 'Taking Shape' TheScientist, 25:18] | ||
|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 (PLoS Computational Biology, ''in press''). <br><br>The GPT-framework was used to capture an understanding of (to model) the [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000537 growing Snapdragon flower]. The Snapdragon model was validated by [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000538 comparing the results with new mutant flowers.]<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 | |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 (PLoS Computational Biology, ''in press''). <br><br>The GPT-framework was used to capture an understanding of (to model) the [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000537 growing Snapdragon flower]. The Snapdragon model was validated by [http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000538 comparing the results with new mutant flowers.]<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. | ||
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==<span style="color:DarkGreen;">VolViewer== | ==<span style="color:DarkGreen;">VolViewer== | ||
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|width="10%"| <imgicon>VolViewer-logo.png|120px|VolViewer</imgicon> | |width="10%"| <imgicon>VolViewer-logo.png|120px|VolViewer</imgicon> | ||
|width="40%"|For viewing and measuring biological images. <br><br> | |width="40%"|For viewing and measuring biological images. <br><br>[[VolViewer|''Details'']]<br><br> | ||
(Windows, Mac, Linux) | (Windows, Mac, Linux) | ||
|width="50%"| | |width="50%"| VolViewer uses [http://www.opengl.org/ OpenGL] and [http://qt.nokia.com/products/ 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 ([http://openmicroscopy.org/site OME]). | ||
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Revision as of 17:09, 10 June 2011
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
GFtbox
| <imgicon>GPT_thumbnail2.png|120px|GFtbox</imgicon> |
For modelling the growth of shapes. |
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 (PLoS Computational Biology, in press). The GPT-framework was used to capture an understanding of (to model) the growing Snapdragon flower. The Snapdragon model was validated by comparing the results with new mutant flowers. 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. |
VolViewer
| <imgicon>VolViewer-logo.png|120px|VolViewer</imgicon> | For viewing and measuring biological images. Details (Windows, Mac, Linux) |
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). |
Open source systems to which we contribute
OMERO
| <imgicon>OMERO_DIAGRAM.jpg|100px|OMERO</imgicon> | For working with the OME image database. See Details, Download (Windows, Mac, Linux) |
Open Microscopy Environment Remote Objects (OMERO). for visualising, managing, and annotating scientific image data. See also our OMERO Workshop training course we ran in April 2011. |
Tools and Utilities
BioformatsConverter
| <imgicon>BioformatsConverterZip.png|100px|BioformatsConverter</imgicon> | For converting microscope manufacturer proprietary file formats. See Details (Windows, Mac, Linux) |
This tool allows for the batch conversion of microscope manufacturer proprietary file formats, to the open source OME-TIFF standard. Uses the Bioformats library. |