python - 修改 genbank 要素的位置

Question

编辑:我知道feature.type将给出gene/CDS，feature.qualifiers将给出“db_xref”/“locus_tag”/“inference”等。是否有一个 feature. 对象允许我访问该位置(例如:[5240:7267](+) )直接？

此 URL 提供了更多信息，但我不知道如何将其用于我的目的... http://biopython.org/DIST/docs/api/Bio.SeqFeature.SeqFeature-class.html#location_operator

原始帖子:

我正在尝试修改 GenBank 文件中功能的位置。本质上，我想修改 GenBank 文件的以下部分:

 gene            5240..7267
                 /db_xref="GeneID:887081"
                 /locus_tag="Rv0005"
                 /gene="gyrB"
 CDS             5240..7267
                 /locus_tag="Rv0005"
                 /inference="protein motif:PROSITE:PS00177"
                 ...........................

至

 gene            5357..7267
                 /db_xref="GeneID:887081"
                 /locus_tag="Rv0005"
                 /gene="gyrB"
 CDS             5357..7267
                 /locus_tag="Rv0005"
                 /inference="protein motif:PROSITE:PS00177"
                 .............................

请注意从 5240 到 5357 的变化

到目前为止，通过搜索互联网和 Stackoverflow，我得到了:

from Bio import SeqIO
gb_file = "mtbtomod.gb"
gb_record = SeqIO.parse(open(gb_file, "r+"), "genbank")
rvnumber = 'Rv0005'
newstart = 5357

final_features = []

for record in gb_record:
  for feature in record.features:
    if feature.type == "gene":
        if feature.qualifiers["locus_tag"][0] == rvnumber:
            if feature.location.strand == 1:
                feature.qualifiers["amend_position"] = "%s:%s" % (newstart, feature.location.end+1)
            else:
                # do the reverse for the complementary strand
    final_features.append(feature)
  record.features = final_features
  with open("testest.gb","w") as testest:
    SeqIO.write(record, testest, "genbank")

这基本上创建了一个名为“amend_position”的新限定符。但是，我想做的是直接修改位置(无论是否创建新文件...)

Rv0005 只是我需要更新的 locus_tag 的一个示例。我还有大约 600 个位置需要更新，这说明需要脚本。帮助!

Answer 1

好的，我的东西现在完全可以工作了。我会发布代码，以防有人需要类似的东西

__author__ = 'Kavin'

from Bio import SeqIO
from Bio import SeqFeature
import xlrd
import sys
import re

workbook = xlrd.open_workbook(sys.argv[2])
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]

# Create dicts to store TSS data
TSS = {}
row = {}
# For each entry (row), store the startcodon and strand information
for i in range(2, sheet.nrows - 1):
    if data[i][5] < -0.7:   # Ensures BASS score is within significant range
        Gene = data[i][0]
        row['Direction'] = str(data[i][3])
        row['StartCodon'] = int(data[i][4])
        TSS[str(Gene)] = row
        row = {}
    else:
        i += 1

# Create an output filename based on input filename
outfile_init = re.search('(.*)\.(\w*)', sys.argv[1])
outfile = str(outfile_init.group(1)) + '_modified.' + str(outfile_init.group(2))

final_features = []
for record in SeqIO.parse(open(sys.argv[1], "r"), "genbank"):
    for feature in record.features:
        if feature.type == "gene" or feature.type == "CDS":
            if TSS.has_key(feature.qualifiers["locus_tag"][0]):
                newstart = TSS[feature.qualifiers["locus_tag"][0]]['StartCodon']
                if feature.location.strand == 1:
                    feature.location = SeqFeature.FeatureLocation(SeqFeature.ExactPosition(newstart - 1),
                                                                  SeqFeature.ExactPosition(
                                                                      feature.location.end.position),
                                                                  feature.location.strand)
                else:
                    feature.location = SeqFeature.FeatureLocation(
                        SeqFeature.ExactPosition(feature.location.start.position),
                        SeqFeature.ExactPosition(newstart), feature.location.strand)
        final_features.append(feature)  # Append final features
    record.features = final_features
    with open(outfile, "w") as new_gb:
        SeqIO.write(record, new_gb, "genbank")

这假设使用诸如 python program.py <genbankfile> <excel spreadsheet>

这还假设电子表格具有以下格式:

基因同义词Tuberculist_annotated_start方向重新annotated_start BASS_score

Rv0005 gyrB 5240 + 5357 -1.782

Rv0012 Rv0012 14089 + 14134 -1.553

Rv0018c pstP 23181 - 23172 -2.077

Rv0032 BioF2 34295 + 34307 -0.842

Rv0037c Rv0037c 41202 - 41163 -0.554