| Previous CloneSet | Next CloneSet | Back to Main Report |
| Clone Mass | Clones in CloneSet | Parameter Count | Clone Similarity | Syntax Category [Sequence Length] |
|---|---|---|---|---|
| 4 | 2 | 0 | 1.000 | compound_stmt |
| Clone Abstraction | Parameter Bindings |
| Clone Instance (Click to see clone) | Line Count | Source Line | Source File |
|---|---|---|---|
| 1 | 4 | 18 | Doc/examples/fasta_dictionary.py |
| 2 | 4 | 52 | Doc/examples/fasta_dictionary.py |
| ||||
for id_num in orchid_dict.keys( ):
print "id number:",id_num
print "description:",orchid_dict[id_num].description
print "sequence:",orchid_dict[id_num].seq
# The Old Way
# ===========
# This next bit of code still works fine. It uses Bio.Fasta instead,
# and builds an index as a set of files on disc in the sub-directory
# my_orchid_dict.idx
# Note that the alphabet is explicitly defined for the sequences.
|
| ||||
for id_num in orchid_dict.keys( ):
print "id number:",id_num
print "description:",orchid_dict[id_num].description
print "sequence:",orchid_dict[id_num].seq
|
| |||
for id_num in orchid_dict.keys( ): print "id number:",id_num print "description:",orchid_dict[id_num].description print "sequence:",orchid_dict[id_num].seq # The Old Way # =========== # This next bit of code still works fine. It uses Bio.Fasta instead, # and builds an index as a set of files on disc in the sub-directory # my_orchid_dict.idx # Note that the alphabet is explicitly defined for the sequences. |
| CloneAbstraction |
| Parameter Index | Clone Instance | Parameter Name | Value |
|---|---|---|---|
| None | |||