This step starts inside an existing 'data'
element. At this point, the 'reg_seq', 'funct_tf' and/or 'construct' elements
should have been defined in this 'data' element (
see Step 2).
The 'data' element
stores all the annotations describing the cell,
time, condition,...
<cell name="Y79" pazar_id="ce_0001"
species="Homo sapiens"
status="cell__line"/>
<time name="24-28"
pazar_id="ti_0001"
scale="stages of
embryogenesis"/>
<condition pazar_id="cd_0001"
cond_type="coexpression"
molecule="transcription
factor" concentration="1:1" scale="ratio"/>
Replace
the red values
with your own information.
The pazar IDs are internal IDs that will not be stored. They can be
anything as long as they are unique throughout the file.
3.2-
Capturing the interaction/expression information
The 'data' element also
stores the
description of the interaction and/or expression quality.
<expression pazar_id="ex_0001"
quantitative="23"
scale="percent"/>
<interaction pazar_id="in_0001"
qualitative="good"/>
<interaction pazar_id="in_0002"
qualitative="none"/>
<interaction pazar_id="in_0003"
quantitative="14"
scale="percent"/>
Replace
the red values
with your own information.
The pazar IDs are internal IDs that will not be stored. They can be
anything as long as they are unique throughout the file.
3.3-
Linking all together
The 'data' element can now be closed. All the data
stored in it will be linked through 'analysis'
elements using the pazar_ids as IDREFS.
An 'analysis' element stores an experiment information, linking
sequences and factors (inputs) to an interaction or expression result
(output). There can be as many 'analysis' element in a 'pazar' element
as needed.
The cell and time are called as attributes of the 'analysis'
element. The evidence, method and ref are children elements of the 'analysis'
element.
The sequences and factors (always use a 'funct_tf' element) studied are
called as attributes of the 'input' element. The interaction or
expression descriptions are called as attributes of the 'output'
element.
Thus the example below describe a SELEX experiment with a TF
(pazar_id="fu_0001") binding to 2 different artificial sequences
(pazar_ids="co_0001" and "co_0002"), with 2 different levels of
interaction (pazar_ids="in_0001" and "in_0002") -> 2
'input_ouput' elements: the first describes the interaction of the TF
with the first sequence, the other describes its interaction with the
second sequence.
Please look at the 3 PAZAR XML examples available on the
main page if
you need other examples.
</data>
<analysis name="analysis_example1"
<evidence type_evid="curated" status_evid="provisional"/>
<method method="SELEX"/>
<ref pmid="7936637"/>
<input_output>
<input inputs="fu_0001
co_0001"/>
<output outputs="in_0001"/>
</input_output>
<input_output>
<input inputs="fu_0001
co_0002"/>
<output outputs="in_0002"/>
</input_output>
</analysis>
Replace
the red values
with your own information.
The pazar IDs are internal IDs that will not be stored. They can be
anything as long as they are unique throughout the file.
3.4-
The end
Once
all the data has been entered in the 'data' element and linked together
through multiple 'analysis' elements, the 'pazar' element can be closed
and the XML file is finished.
</pazar>