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.
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 transferred 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 analysis 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. |
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Model spots to mimic the protein migration
process
Spot modeling replaces the pixel based
spot outlines by modeled 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 retrieval of spot related
web data
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 continuous 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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