Hi guys,
I'm very new to pygr and to python but after reading through the specs I 
think pygr will greatly simplify my work once I learn how to use it 
properly.. I've done this with just python but wanted to learn this 
framework and improve on my current work. 

I have a couple of tasks I'm trying to accomplish for preparation of some 
wetlab work.. 

*Data I will be using:*
1. Disease specific TCGA SSM data (single mutations much like SNP) 
2. 3'UTR libraries 
3. miRNA target SNP datasets (mostly from PolymiRTS)
4. SNPdb disease specific data.

*Actions that will be performed:*
1. map TCGA SSM mutations to 3UTRs
2. map TCGA SSM to PolymiRTS SNP datasets (all different formats)
3. ..... to SNPdb disease specific data.

When looking through the documentation I came across literature on 
annotations and came up with a sample TCGA ssm class

* class tcga_ssm(object):*
*  def __init__(self, chromosome_start, chromosome_end, chromosome_strand, 
gene_name, ensembl_gene_id):*
*   (self.id, self.start, self.stop, self.orientation) = \*
*        ( "%s|%s|%s" % (chromosome_start, gene_name, ensembl_gene_id), 
chromosome_start, chromosome_end, chromosome_strand) *

the problem is this doesn't account for the 40+ other fields that I may 
need later once I match.. 
Also few of of the datasets include much sequence information and the 
example I saw requires a DNA db to create an annoDB

annodb = annotation.AnnotationDB(slice_db, dna_db


I will have to overlay coordinates, grab seed sequences and provide reports 
for mixing and matching of the above data.. what is the best approach.. a 
nudge in the right direction would be awesome.


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