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5 changed files with 79 additions and 30 deletions

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@ -57,6 +57,18 @@ def __addImportInputOption(optionManager):
const=b'rdp',
help="Input file is in RDP training set fasta format. If NCBI taxonomy provided with --taxonomy, taxid and scientific name will be added for each sequence.")
group.add_argument('--unite-input',
action="store_const", dest="obi:inputformat",
default=None,
const=b'unite',
help="Input file is in UNITE fasta format. If NCBI taxonomy provided with --taxonomy, taxid and scientific name will be added for each sequence.")
group.add_argument('--sintax-input',
action="store_const", dest="obi:inputformat",
default=None,
const=b'sintax',
help="Input file is in SINTAX fasta format. If NCBI taxonomy provided with --taxonomy, taxid and scientific name will be added for each sequence.")
group.add_argument('--embl-input',
action="store_const", dest="obi:inputformat",
default=None,

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@ -2,6 +2,7 @@
import sys
import os
import re
from obitools3.apps.progress cimport ProgressBar # @UnresolvedImport
from obitools3.dms.view.view cimport View
@ -108,6 +109,8 @@ def run(config):
cdef bint NUC_SEQS_view
cdef bint silva
cdef bint rdp
cdef bint unite
cdef bint sintax
cdef int nb_elts
cdef object d
cdef View view
@ -233,16 +236,27 @@ def run(config):
def_col = view[DEFINITION_COLUMN]
seq_col = view[NUC_SEQUENCE_COLUMN]
# Prepare taxon scientific name and taxid refs if RDP or SILVA file
# Prepare taxon scientific name and taxid refs if RDP/SILVA/UNITE/SINTAX formats
silva = False
rdp = False
if 'inputformat' in config['obi'] and (config['obi']['inputformat'] == b"silva" or config['obi']['inputformat'] == b"rdp"):
unite = False
sintax=False
if 'inputformat' in config['obi'] and (config['obi']['inputformat'] == b"silva" or \
config['obi']['inputformat'] == b"rdp" or \
config['obi']['inputformat'] == b"unite" or \
config['obi']['inputformat'] == b"sintax"):
#if taxo is None:
# raise Exception("A taxonomy (as built by 'obi import --taxdump') must be provided for SILVA and RDP files")
silva = True
rdp = True
if config['obi']['inputformat'] == b"silva":
silva = True
elif config['obi']['inputformat'] == b"rdp":
rdp = True
elif config['obi']['inputformat'] == b"unite":
unite = True
elif config['obi']['inputformat'] == b"sintax":
sintax = True
sci_name_col = Column.new_column(view, SCIENTIFIC_NAME_COLUMN, OBI_STR)
if taxo is not None:
sci_name_col = Column.new_column(view, SCIENTIFIC_NAME_COLUMN, OBI_STR)
taxid_col = Column.new_column(view, TAXID_COLUMN, OBI_INT)
dcols = {}
@ -349,17 +363,39 @@ def run(config):
if get_quality:
qual_col[i] = entry.quality
# Parse taxon scientific name if RDP file
if (rdp or silva) and taxo is not None:
sci_names = entry.definition.split(b";")
for sci_name in reversed(sci_names):
if sci_name.split()[0] != b'unidentified' and sci_name.split()[0] != b'uncultured' and sci_name.split()[0] != b'metagenome' :
taxon = taxo.get_taxon_by_name(sci_name)
if taxon is not None:
sci_name_col[i] = taxon.name
taxid_col[i] = taxon.taxid
#print(taxid_col[i], sci_name_col[i])
break
# Parse taxon scientific name if RDP or Silva or Unite file
if (rdp or silva or unite or sintax):
if rdp or silva:
sci_names = entry.definition.split(b";")
sci_name_col[i] = sci_names[-1]
elif unite:
sci_names = entry.id.split(b'|')[-1].split(b';')
sci_name_col[i] = re.sub(b'[a-zA-Z]__', b'', sci_names[-1])
elif sintax:
reconstructed_line = entry.id+b' '+entry.definition[:-1]
splitted_reconstructed_line = reconstructed_line.split(b';')
taxa = splitted_reconstructed_line[1].split(b'=')[1]
taxa = splitted_reconstructed_line[1].split(b',')
sci_names = []
for t in taxa:
tf = t.split(b':')[1]
sci_names.append(tf)
sci_name_col[i] = sci_names[-1]
id_col[i] = reconstructed_line.split(b';')[0]
def_col[i] = reconstructed_line
# Fond taxid if taxonomy provided
if taxo is not None :
for sci_name in reversed(sci_names):
if unite:
sci_name = re.sub(b'[a-zA-Z]__', b'', sci_name)
if sci_name.split()[0] != b'unidentified' and sci_name.split()[0] != b'uncultured' and sci_name.split()[0] != b'metagenome':
taxon = taxo.get_taxon_by_name(sci_name)
if taxon is not None:
sci_name_col[i] = taxon.name
taxid_col[i] = taxon.taxid
#print(taxid_col[i], sci_name_col[i])
break
for tag in entry :

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@ -48,24 +48,25 @@ def ngsfilterIterator(lineiterator,
all_lines.insert(0, firstline)
# Insert header for column names
column_names = [b"experiment", b"sample", b"forward_tag", b"reverse_tag", b"forward_primer", b"reverse_primer",b"additional_info"]
column_names = [b"experiment", b"sample", b"forward_tag", b"reverse_tag", b"forward_primer", b"reverse_primer"] #,b"additional_info"]
header = out_sep.join(column_names)
new_lines.append(header)
for line in all_lines:
split_line = line.split(maxsplit=5)
tags = split_line.pop(2)
tags = tags.split(b":")
for t_idx in range(len(tags)):
if tags[t_idx]==b"-" or tags[t_idx]==b"None" or tags[t_idx]==b"":
tags[t_idx] = nastring
if len(tags) == 1: # Forward and reverse tags are the same
tags.append(tags[0])
split_line.insert(2, tags[0])
split_line.insert(3, tags[1])
new_lines.append(out_sep.join(split_line[0:7]))
if split_line:
tags = split_line.pop(2)
tags = tags.split(b":")
for t_idx in range(len(tags)):
if tags[t_idx]==b"-" or tags[t_idx]==b"None" or tags[t_idx]==b"":
tags[t_idx] = nastring
if len(tags) == 1: # Forward and reverse tags are the same
tags.append(tags[0])
split_line.insert(2, tags[0])
split_line.insert(3, tags[1])
new_lines.append(out_sep.join(split_line[0:6]))
return tabIterator(iter(new_lines),
header = True,
sep = out_sep,

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@ -506,7 +506,7 @@ def open_uri(uri,
if format is not None:
if seqtype==b"nuc":
objclass = Nuc_Seq # Nuc_Seq_Stored? TODO
if format==b"fasta" or format==b"silva" or format==b"rdp":
if format==b"fasta" or format==b"silva" or format==b"rdp" or format == b"unite" or format == b"sintax":
if input:
iseq = fastaNucIterator(file,
skip=skip,

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@ -1,5 +1,5 @@
major = 3
minor = 0
serial= '1b16'
serial= '1b19'
version ="%d.%d.%s" % (major,minor,serial)