[pygr-notify] [pygr commit] r60 - wiki
codesite-noreply at google.com
codesite-noreply at google.com
Tue Jun 24 14:38:44 PDT 2008
Author: ramccreary
Date: Tue Jun 24 14:37:52 2008
New Revision: 60
Modified:
wiki/DataStorageUsingpygr.wiki
Log:
Edited wiki page through web user interface.
Modified: wiki/DataStorageUsingpygr.wiki
==============================================================================
--- wiki/DataStorageUsingpygr.wiki (original)
+++ wiki/DataStorageUsingpygr.wiki Tue Jun 24 14:37:52 2008
@@ -175,7 +175,7 @@
Finally, the MySQL database for the annotation is built, and saved as
the supplied database name. conn.commit() closes the database and the
transaction and makes the changes permanent.
-Here, slicedb uses slices (intervals) from the SQLTable, which
correspond to the gene sequences in the BLAST database previously
constructed that contains the genome. AnnotationDB uses the sequence
intervals are keys within a dictionary, and the values are the
annotation objects, which are similar to sequence intervals in that
they represent segments of the genome, but have annotation data
associated with them. The two containers supplied for AnnotationDB are
the slicedb, which contains the SQL table that holds the list of
annotation intervals, and sequence database for the E. coli sequence intervals.
+Here, slicedb uses the annotation objects from the SQLTable, which
correspond to the gene sequences in the BLAST database previously
constructed that contains the genome. AnnotationDB uses the sequence
intervals are keys within a dictionary, and the values are the
annotation objects, which are similar to sequence intervals in that
they represent segments of the genome, but have annotation data
associated with them. The two containers supplied for AnnotationDB are
the slicedb, which contains the SQL table that holds the list of
annotation objects, and sequence database for the E. coli sequence.
Then, a dictionary is created to hold the annotation database and the
genome database together. PrefixUnionDict provides a cohesive interface
to access the data in the two databases.
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