如何在biopython entrez.esearch中下载完整的基因组序列

Question

我只需要从NCBI (GenBank(full)格式)下载完整的基因组序列。我对“全基因组”而不是“全基因组”感兴趣。

我的脚本：

from Bio import Entrez
Entrez.email = "asiakXX@wp.pl"
gatunek='Escherichia[ORGN]'
handle = Entrez.esearch(db='nucleotide',
     term=gatunek, property='complete genome' )#title='complete genome[title]')
result = Entrez.read(handle)

结果我只得到了基因组的小片段，大小约为484bp：

LOCUS       NZ_KE350773              484 bp    DNA     linear   CON 23-AUG-2013
DEFINITION  Escherichia coli E1777 genomic scaffold scaffold9_G, whole genome
       shotgun sequence.

我知道如何通过NCBI网站手动操作，但这非常耗时，我在那里使用的查询：

escherichia[orgn] AND complete genome[title]

结果我得到了多个基因组，大小约为5,154,862 bp，这就是我需要通过ENTREZ.esearch做的事情。

Answer 1

您已经完成了最难的部分并完成了查询，

escherichia[orgn] AND complete genome[title]

因此，也可以通过Biopython将其用作搜索查询！

from Bio import Entrez
Entrez.email = "asiakXX@wp.pl"
search_term = "escherichia[orgn] AND complete genome[title]"
handle = Entrez.esearch(db='nucleotide', term=search_term)
result = Entrez.read(handle)
handle.close()
print(result['Count']) # added parenthesis 

目前，它给出了140个结果，从545778205开始，与网站相同：http://www.ncbi.nlm.nih.gov/nuccore/?term=escherichia%5Borgn%5D+AND+complete+genome%5Btitle%5D

Answer 2

你的问题很清楚，但完整的答案很长。我提供的代码为您想要的每个E.Coli基因组序列生成一个.fasta文件，是的，只有NCBI中的"Complete genome “。

你会看到在NCBI (http://www.ncbi.nlm.nih.gov/genome/167)中只有six complete E.Coli参考基因组：

​

​

为了帮助你，这里有他们基因组的/Refseq链接：

1. http://www.ncbi.nlm.nih.gov/nuccore/NC_000913.3
2. http://www.ncbi.nlm.nih.gov/nuccore/NC_002695.1
3. http://www.ncbi.nlm.nih.gov/nuccore/NC_011750.1
4. http://www.ncbi.nlm.nih.gov/nuccore/NC_011751.1
5. http://www.ncbi.nlm.nih.gov/nuccore/NC_017634.1
6. http://www.ncbi.nlm.nih.gov/nuccore/NC_018658.1

这里是我的代码，用于将完整的基因组序列解析为.FASTA文件...

# Imports
from Bio import Entrez
from Bio import SeqIO

#############################
# Retrieve NCBI Data Online #
#############################

Entrez.email     = "asiak@wp.pl"             # Always tell NCBI who you are
genomeAccessions = ['NC_000913', 'NC_002695', 'NC_011750', 'NC_011751', 'NC_017634', 'NC_018658']
search           = " ".join(genomeAccessions)
handle           = Entrez.read(Entrez.esearch(db="nucleotide", term=search, retmode="xml"))
genomeIds        = handle['IdList']
records          = Entrez.efetch(db="nucleotide", id=genomeIds, rettype="gb", retmode="text")

###############################
# Generate Genome Fasta files #
###############################

sequences   = []  # store your sequences in a list
headers     = []  # store genome names in a list (db_xref ids)

for i,record in enumerate(records):

    file_out = open("genBankRecord_"+str(i)+".gb", "w")    # store each genomes .gb in separate files
    file_out.write(record.read())
    file_out.close()

    genomeGenbank   = SeqIO.read("genBankRecord"+str(i)+".gb", "genbank")  # parse in the genbank files
    header         = genome.features[0].qualifiers['db_xref'][0]          # name the genome using db_xfred ID
    sequence       = genome.seq.tostring()                                # obtain genome sequence

    headers.append('>'+header)  # store genome name in list                                     
    sequences.append(sequence)  # store sequence in list

    fasta_out = open("genome"+str(i)+".fasta","w")     # store each genomes .fasta in separate files
    fasta_out.write(header)    # >header ... followed by:
    fasta_out.write(sequence)  # sequence ... 
    fasta_out.close()          # close that .fasta file and move on to next genome
records.close()

让我知道它进行得怎么样！安迪

Answer 3

这对我很有效..。

search_term = 'escherichia coli[orgn] AND complete genome[title]'
handle = Entrez.esearch(db='nucleotide', term=search_term)
genome_ids = Entrez.read(handle)['IdList']

for genome_id in genome_ids:
    record = Entrez.efetch(db="nucleotide", id=genome_id, rettype="gb", retmode="text")

    filename = 'generated/genBankRecord_{}.gb'.format(genome_id)
    print('Writing:{}'.format(filename))
    with open(filename, 'w') as f:
        f.write(record.read())