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Proteome Maps
Delta2D's image fusion lets you create
proteome maps from collections of 2D gel images. A proteome map looks
like a real gel image but combines all spots into a single image –
even those that will never be expressed simultaneously. You can
collect protein identifications on the map and use Delta2D to
transfer them automatically and reliably from and to other
gels.
Delta2D allows you to place labels
anywhere on a gel image – independently from spot locations.
Managing master gels with spot identifications is easy – a single
click will transfer labels from one gel to another. You can change
label colors and formats according to your preferences. Just like any
other data generated by Delta2D, label data is saved in XML files
that can easily be processed by other applications. In combination
with Protecs, you get access to additional information about the
protein, including external links, sequence, and biochemical
parameters.
Read more about Proteome Maps in the article
Luhn, S., Berth, M., Hecker, M., & Bernhardt, J. (2003).
Using standard positions and image fusion to create proteome maps from collections of two-dimensional gel electrophoresis images.
Proteomics, 3(7), pp. 1117-1127.
which has been published in the peer reviewed journal Proteomics.
Related Features and Benefits
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Standardized Spot Shapes due to Spot Transfer
Spot boundaries detected on union fusion images which
contain the image information of a whole 2D gel study
can be transfered to every gel of your experiment by
using the Transfer Spots procedure of Delta2D.
This results in uniform spot shapes over the whole
experiment, generates complete expression profiles and
prevents for the classical problems of multiple matches
known from traditional 2D gel analyisis packages.
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100% Spot Matching: Complete Expression Profiles with Delta2D
Delta2D's 100% spot
matching produces complete expression profiles for every protein. Besides higher throughput, this
leads to significantly improved statistical confidence, so you can, for
example, identify more biomarker candidates from the same experiment.
Delta2D's method avoids inconsistencies like missing values in expression profiles and
ambiguities in the profiles themselves that are typical for other approaches.
Read more...
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Model spots to mimic the protein migration process
Spot modelling replaces the pixel based spot
outlines by modelled spot boundaries. The applied
model simulates the protein migration
process in 2D gel electrophoresis and creates much
more realistic spot detection and spot cluster
separation results.
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Add and manage labels.
You can add labels to any point on a gel. Labels are automatically assigned to spots. Change color, font and visibility of a label's text, arrow etc. Labels can be automatically transferred from one gel to another, making it easy to manage master gels containing protein identifications.
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Use Scouts to automate retreival of spot related web data
DECODON Scouts simplify the retrieval of web data.
Define a label and let the Scouts go out to the Web
and bring back corresponding data like pI, MW,
sequence, function ...
Retrieved data are attached to the labels and stored
on your computer.
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Visualize protein properties by label colors
Label color coding illustrates protein properties
using different colors. Numerical data like pI, MW,
protein size and so on can be visualized by continous color
gradients. This, for example, makes it easy
to find proteins with unusual pI or MW caused by
posttranslational modifications.
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Color spots according to their expression profiles.
The larger an experimental design, the higher
the analytical complexity. Spot color coding
condenses whole experiment expression profiles by
using different colors in just one gel image. This
simplifies extraction of the really interesting spots.
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Create PowerPoint slides.
With a few clicks, you can make a PowerPoint slide from a gel view, including fully editable labels and spot boundaries.
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