def search(self):
if self.database == 'PubMed':
from Bio import PubMed
from Bio import GenBank
searchIds = PubMed.search_for(self.searchTerm, max_ids=self.maxResults)
GBrecParser = GenBank.FeatureParser()
ncbiDict = GenBank.NCBIDictionary(self.type,
'genbank',
parser=GBrecParser)
from Bio import Medline
MLrecParser = Medline.RecordParser()
medlineDict = PubMed.Dictionary(delay=1.0, parser=MLrecParser)
for id in searchIds:
MLrecord = medlineDict[id]
GBrecord = ncbiDict[id]
newDBItem = DBItem(self.project,
seq=GBrecord.seq,
descript=GBrecord.description,
id=id,
record=MLrecord)
self.items[id] = newDBItem
"""Example script showing how to interact with PubMed."""
# standard library
import string
# biopython
from Bio import PubMed
from Bio import Medline
# do the search and get the ids
search_term = 'orchid'
orchid_ids = PubMed.search_for(search_term)
print orchid_ids
# access Medline through a dictionary interface that returns PubMed Records
rec_parser = Medline.RecordParser()
medline_dict = PubMed.Dictionary(parser=rec_parser)
for id in orchid_ids[0:5]:
cur_record = medline_dict[id]
print 'title:', string.rstrip(cur_record.title)
print 'authors:', cur_record.authors
print 'source:', string.strip(cur_record.source)
print
