[base] BASE 1 column names in Base1PluginExecuter

2007-05-29 Thread Robin Andersson
Hi,

It seems that, starting from the BASE 2.2 release, BASE 1 column names 
are no longer translated into BASE 2 column names prior to export. In 
revision 2988 of Base1PluginExecutor the different names of e.g. raw 
data fields was handled by a Map that was filled in the following way:

base1columns.put(BCh1Mean, 
Selects.expression(Dynamic.rawData(ch1BgMean), BCh1Mean));

In the above example, BCh1Mean refers to a BASE 1 column name whereas 
ch1BgMean is the column name used in BASE 2. The above solution was 
changed in the 2.2 release which uses the BioAssaySetExporter instead. 
However, the mapping of BASE 1 column names to BASE 2 column names is no 
longer provided.

How shall the difference of column names be handled when running BASE 1 
plugins in BASE 2.2? I can of course rewrite the BASE 1 plugins and 
configuration to fix this issue but that seems like a bad solution. 
Isn't the big idea that you shall be able to run BASE 1 plugins with 
original configuration files as is without tweaks? Am I missing some 
configuration that needs to be done?

/Robin

-- 
Robin Andersson, PhD student
Linnaeus Centre for Bioinformatics
BMC, Box 598, SE-751 24 Uppsala, Sweden
phone: +46 18 471 66 86 (admin: 66 90)
fax: +46 18 471 66 98
office: BMC, C6:315a
email: [EMAIL PROTECTED]
http://www.lcb.uu.se/~robina/

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[base] BASE2: API for storing normalized data

2007-05-29 Thread Micha Bayer
Hi,

Is there a way of programmatically storing externally normalized
microarray data in BASE? I have been looking through the API but can't
seem to find an obvious way of doing this.

We run a workflow outside BASE (currently in GenePattern) which pulls
data out of BASE (using the BASE client API) and then normalizes it
using an R script that calls Bioconductor functions. I then need to
store that normalized data back into BASE so it can be reused later,
rather than having to do the lengthy normalization again. 

Is there a way of creating BioAssaySet objects directly and importing
the external data into it? And do I need to create a root BioAssaySet
first? I am kind of out of my depth here.. :-)

Cheers

Micha

==
Dr Micha M Bayer
Bioinformatics Specialist
Genetics Programme
The Scottish Crop Research Institute
Invergowrie
Dundee
DD2 5DA
Scotland, UK
Telephone +44(0)1382 562731 ext. 2309
Fax +44(0)1382 562426
http://www.scri.sari.ac.uk/MichaBayer.htm
=
 

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Re: [base] BASE2: API for storing normalized data

2007-05-29 Thread Nicklas Nordborg
Micha Bayer wrote:
 Hi,
 
 Is there a way of programmatically storing externally normalized
 microarray data in BASE? I have been looking through the API but can't
 seem to find an obvious way of doing this.
 
 We run a workflow outside BASE (currently in GenePattern) which pulls
 data out of BASE (using the BASE client API) and then normalizes it
 using an R script that calls Bioconductor functions. I then need to
 store that normalized data back into BASE so it can be reused later,
 rather than having to do the lengthy normalization again. 
 
 Is there a way of creating BioAssaySet objects directly and importing
 the external data into it? And do I need to create a root BioAssaySet
 first? I am kind of out of my depth here.. :-)


Yes, it is possible to do this the same way as, for example, the 
existing Lowess normalization plug-in does it. This is the general outline:

1. Call BioassaySet.newTransformation() to create a new transformation 
item. Give it a meaningful name and description, e.g. GenePattern 
normalization using XXX method
2. Call Transformation.newProduct() to create the child bioassayset that 
stores the normalized data. Give it also a meaningful name and description.
3. Call BioassaySet.getSpotBatcher() to create a SpotBatcher object. Use 
the insert() method to store the normalized intensities.

The above procedure can be used when you already have a (root) 
bioassayset with your data. If you start out with raw data you must 
create a root bioassayset. In this case, you should call 
Experiment.newTransformation() to create the transformation in the first 
step. In step 3 you may also have to do:

BioAssaySet.getPositionBatcher() which is used to assign reporters to 
the normalized data, and BioAssaySet.getMappingBatcher() if you need to 
keep links to the raw data.

I don't know if this made things clearer for you. There is also some 
information available at 
http://base.thep.lu.se/chrome/site/doc/development/overview/dynamic/index.html
The document is rather old and I can't say if it is correct in all details.

You can also check the code for the RMAExpress plug-in 
athttp://lev.thep.lu.se/trac/baseplugins/wiki/se.lu.thep.affymetrix 
which also uses an external program (RMAExpress) for normalization of 
Affymetrix data.

/Nicklas



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