If you deal with a large quantity of gene IDs (such as the ones produced by microarray analysis), annotating them is important if you want to determine their potential biological meaning. However, a lot of annotation systems are only web-based, or do not work with Python.
Thanks to the Entrez module it is possible to annotate batches of Entrez Gene IDs without trouble, using the “retrieve_ids” function provided below.
This example assumes you have a list of Entrez Gene IDs. Note: they should be stored as strings, rather than integers, even if they are numbers.
import sys
from Bio import Entrez
# *Always* tell NCBI who you are
Entrez.email = "your email here"
def retrieve_annotation(id_list):
"""Annotates Entrez Gene IDs using Bio.Entrez, in particular epost (to
submit the data to NCBI) and esummary to retrieve the information.
Returns a list of dictionaries with the annotations."""
request = Entrez.epost("gene", id=",".join(id_list))
try:
result = Entrez.read(request)
except RuntimeError as e:
# FIXME: How generate NAs instead of causing an error with invalid IDs?
print "An error occurred while retrieving the annotations."
print "The error returned was %s" % e
sys.exit(-1)
webEnv = result["WebEnv"]
queryKey = result["QueryKey"]
data = Entrez.esummary(db="gene", webenv=webEnv, query_key=queryKey)
annotations = Entrez.read(data)
print "Retrieved %d annotations for %d genes" % (len(annotations), len(id_list))
return annotations
As the function’s docstring says, the function returns a list of dictionaries, one for each gene, that you can use in any way you want. The following example prints out ID, Gene Symbol and Gene Name for a retrieved annotation:
def print_data(annotation):
for gene_data in annotation:
gene_id = gene_data["Id"]
gene_symbol = gene_data["NomenclatureSymbol"]
gene_name = gene_data["Description"]
print "ID: %s - Gene Symbol: %s - Gene Name: %s" % (
gene_id,
gene_symbol,
gene_name,
)
Tao Liu expanded on this code with a full example of converting between Entrez IDs and RefSeq IDs.