Python Seq.Seq方法代碼示例

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def main(args):
    for record in SeqIO.parse(args.infile, 'fasta'):
        if args.discard:
            if sum([1 for rx in args.discard if re.match(rx, record.id)]) > 0:
                continue

        subseqcounter = 0
        printlog(args.debug, "DEBUG: convert to upper case", record.id)
        sequence = str(record.seq).upper()
        printlog(args.debug, "DEBUG: split seq by Ns", record.id)
        subseqs = [ss for ss in re.split('[^ACGT]+', sequence) if len(ss) > args.minlength]
        printlog(args.debug, "DEBUG: print subseqs", record.id)
        for subseq in subseqs:
            subseqcounter += 1
            subid = '{:s}_chunk_{:d}'.format(record.id, subseqcounter)
            subrecord = SeqRecord(Seq(subseq), subid, '', '')
            SeqIO.write(subrecord, args.outfile, 'fasta') 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def cast_to_str(obj):
    """Return a string representation of a Seq or SeqRecord.

    Args:
        obj (str, Seq, SeqRecord): Biopython Seq or SeqRecord

    Returns:
        str: String representation of the sequence

    """

    if isinstance(obj, str):
        return obj
    if isinstance(obj, Seq):
        return str(obj)
    if isinstance(obj, SeqRecord):
        return str(obj.seq)
    else:
        raise ValueError('Must provide a string, Seq, or SeqRecord object.') 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def cast_to_seq(obj, alphabet=IUPAC.extended_protein):
    """Return a Seq representation of a string or SeqRecord object.

    Args:
        obj (str, Seq, SeqRecord): Sequence string or Biopython SeqRecord object
        alphabet: See Biopython SeqRecord docs

    Returns:
        Seq: Seq representation of the sequence

    """

    if isinstance(obj, Seq):
        return obj
    if isinstance(obj, SeqRecord):
        return obj.seq
    if isinstance(obj, str):
        obj = obj.upper()
        return Seq(obj, alphabet)
    else:
        raise ValueError('Must provide a string, Seq, or SeqRecord object.') 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def seq(self):
        """Seq: Dynamically loaded Seq object from the sequence file"""

        if self.sequence_file:
            file_to_load = copy(self.sequence_path)
            log.debug('{}: reading sequence from sequence file {}'.format(self.id, file_to_load))
            tmp_sr = SeqIO.read(file_to_load, 'fasta')
            return tmp_sr.seq

        else:
            if not self._seq:
                log.debug('{}: no sequence stored in memory'.format(self.id))
            else:
                log.debug('{}: reading sequence from memory'.format(self.id))

            return self._seq 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def test_translate_feature(self):
        '''
        Test translate_feature from a dictionary of given nucleotides to dictionary of translated amino acids
        '''
        # Seq -> Amino https://en.wikipedia.org/wiki/DNA_codon_table
        seq1 = Seq("TTTCTTATGGTCGTA") 
        seq2 = Seq("TCTTCAACTGCTACA")
        seq3 = Seq("CATAATGAATATAAT")
        aln = {'seq1': seq1,
               'seq2': seq2,
               'seq3': seq3}
        feature = SeqFeature(FeatureLocation(0, 15), type="domain")

        # expected results
        expected_translations = {'seq1': 'FLMVV',
                                 'seq2': 'SSTAT',
                                 'seq3': 'HNEYN'}

        assert translate.translate_feature(aln, feature) == expected_translations

    # TODO: test_vcf_feature, assign_aa_vcf, assign_aa_fasta
    # Unclear how to emulate inputs (TreeTime dict, tree) 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def test_prune_seqs_matching_alignment(self):
        sequence = {
            "seq1": SeqRecord(Seq("GTAC"), name="seq1"),
            "seq2": SeqRecord(Seq("CGTT"), name="seq2"),
            "seq3": SeqRecord(Seq("TAGC"), name="seq3"),
        }
        alignment = MultipleSeqAlignment(
            [
                SeqRecord(Seq("GTAC"), name="seq1"),
                SeqRecord(Seq("TAGC"), name="seq3"),
            ]
        )
        
        result = align.prune_seqs_matching_alignment(sequence.values(), alignment)
        assert [r.name for r in result] == ["seq2"]
        for r in result:
            assert r.seq == sequence[r.name].seq 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def fake_alignment(T):
    """
    Fake alignment to appease treetime when only using it for naming nodes...
    This is lifted from refine.py and ideally could be imported

    Parameters
    -------
    T : <class 'Bio.Phylo.BaseTree.Tree'>

    Returns
    -------
    <class 'Bio.Align.MultipleSeqAlignment'>
    """
    from Bio import SeqRecord, Seq, Align
    seqs = []
    for n in T.get_terminals():
        seqs.append(SeqRecord.SeqRecord(seq=Seq.Seq('ACGT'), id=n.name, name=n.name, description=''))
    aln = Align.MultipleSeqAlignment(seqs)
    return aln 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def make_intron_supercontig(contig_info,gene,prefix,add_N = False):
    cap3contigs = SeqIO.to_dict(SeqIO.parse("../{}_contigs.fasta".format(gene),'fasta'))
    intron_supercontig = SeqRecord(Seq(''))
    for i in contig_info:
        if i[5] == "(+)":
            intron_supercontig += cap3contigs[i[0]]
        elif i[5] == "(-)":
            intron_supercontig += cap3contigs[i[0]].reverse_complement()    
        else:
            sys.stderr.write("Strandedness not found!")
            sys.exit(1)
        if add_N and i != contig_info[-1]:
            intron_supercontig += "NNNNNNNNNN"    
    intron_supercontig.id = '{}-{}'.format(prefix,gene)
    intron_supercontig.description = ''
    SeqIO.write(intron_supercontig,'sequences/intron/{}_supercontig.fasta'.format(gene),'fasta') 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def remove_exons(gff_filename,supercontig_filename,mode="all"):
    '''Given a supercontig and corresponding annotation, remove the exon sequences. In "intron" mode, only return sequences specifically annotated as introns'''
    exon_starts = []
    exon_ends = []
    gff = open(gff_filename).readlines()
    for line in gff:
        line = line.rstrip().split("\t")
        if len(line) > 2:
            if line[2] == "exon":
                exon_starts.append(int(line[3]))
                exon_ends.append(int(line[4]))
    supercontig = SeqIO.read(supercontig_filename,'fasta')
    exonless_contig = SeqRecord(Seq(''),id=supercontig.id)
    start = 0
    for exon in range(len(exon_starts)):
        exonless_contig += supercontig[start:exon_starts[exon]-1] 
        start = exon_ends[exon]
    exonless_contig += supercontig[start:]    
    exonless_contig.description = ''
    return exonless_contig 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def transeq(data):
    dummy = int(data[1])
    record = data[0]
    if dummy == 0:
        prot = (translate_frameshifted(record.seq[0:]))
        prot_rec = (SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand0plus"))
    if dummy == 1:
        prot = (translate_frameshifted(record.seq[1:]))  # second frame
        prot_rec = (SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand1plus"))
    if dummy == 2:
        prot = (translate_frameshifted(record.seq[2:]))  # third frame
        prot_rec =(SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand2plus"))
    if dummy == 3:
        prot = (translate_frameshifted(reverse_complement(record.seq)))  # negative first frame
        prot_rec = (SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand0minus"))
    if dummy == 4:
        prot = (translate_frameshifted(reverse_complement(record.seq[:len(record.seq) - 1])))  # negative second frame
        prot_rec =(SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand1minus"))
    if dummy == 5:
        prot = (translate_frameshifted(reverse_complement(record.seq[:len(record.seq) - 2])))  # negative third frame
        prot_rec = (SeqRecord(Seq(prot, IUPAC.protein), id=record.id + "_strand2minus"))
    return(prot_rec) 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def get_seq_record(self):
        """
        Gets a SeqRecord for this hit.
        :return: A SeqRecord for this hit.
        """
        return SeqRecord(Seq(self.get_genome_contig_hsp_seq()), id=self.get_amr_gene_id(),
                         description=(
                             'isolate: {}, contig: {}, contig_start: {}, contig_end: {}, database_gene_start: {},'
                             ' database_gene_end: {}, hsp/length: {}/{}, pid: {:0.2f}%, plength: {:0.2f}%').format(
                             self.get_genome_id(),
                             self.get_genome_contig_id(),
                             self.get_genome_contig_start(),
                             self.get_genome_contig_end(),
                             self.get_amr_gene_start(),
                             self.get_amr_gene_end(),
                             self.get_hsp_length(),
                             self.get_amr_gene_length(),
                             self.get_pid(),
                             self.get_plength())) 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def __init__(self, primer_values, template, reference, left_primer = True):
        for k,v in primer_values.items():
            setattr(self, k, v)
        self.left = left_primer
        template = str(template)
        if left_primer:
            self.START = template.find(self.SEQUENCE)
        else:
            # Reverse - complement right primer to find its location
            pright_rc = str(Seq(self.SEQUENCE).reverse_complement())
            self.START = template.find(pright_rc)
        self.END = self.START + len(self.SEQUENCE)

        # Blast primer sequence
        b = blast(reference, num_alignments = 10, word_size = 14)
        self.unique_copies = b.check_primer(self.SEQUENCE) 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def fetch_sequence(self, use_template):
        """
            Fetches sequence surrounding variant for REF, ALT, or given sample.
        """
        sample_flag = ""
        if use_template == "REF":
            command = "samtools faidx {self.reference_file} {self.region}"
        elif use_template == "ALT" or use_template is None:
            command = "samtools faidx {self.reference_file} {self.region} | bcftools consensus {self.filename}"
        else:
            sample_flag = "--sample=" + use_template  # Get use_template for sample.
            command = "samtools faidx {self.reference_file} {self.region} | bcftools consensus {sample_flag} {self.filename}"
        command = command.format(**locals())
        try:
            seq = check_output(command, shell=True)
            seq = Seq(''.join(seq.splitlines()[1:]), DNA_SET)
        except:
            seq = Seq('')
        return seq 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def guide_positional_features(guide_seq, gene, strand):
    """
    Given a guide sequence, a gene name, and strand (e.g. "sense"), return the (absolute) nucleotide cut position, and the percent amino acid.
    From John's email:
    the cut site is always 3nts upstream of the NGG PAM:
    5' - 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 <cut> 18 19 20 N G G - 3'
    To calculate percent protein, we determined what amino acid number was being cut and just divided by the total number of amino acids. In the case where the cutsite was between two amino acid codons, I believe we rounded down

    """

    guide_seq = Seq.Seq(guide_seq)
    gene_seq = Seq.Seq(util.get_gene_sequence(gene)).reverse_complement()
    if strand=='sense':
        guide_seq = guide_seq.reverse_complement()
    ind = gene_seq.find(guide_seq)
    if ind ==-1:
        print "returning None, could not find guide %s in gene %s" % (guide_seq, gene)
        return ""
    assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right"
    ## now get what we want from this:
    import ipdb; ipdb.set_trace()
    raise NotImplementedError("incomplete implentation for now") 

# 需要導入模塊: from Bio import Seq [as 別名]
# 或者: from Bio.Seq import Seq [as 別名]
def convert_to_thirty_one(guide_seq, gene, strand):
    '''
    Given a guide sequence, a gene name, and strand (e.g. "sense"), return a 31mer string which is our 30mer,
    plus one more at the end.
    '''
    guide_seq = Seq.Seq(guide_seq)
    gene_seq = Seq.Seq(get_gene_sequence(gene)).reverse_complement()
    if strand=='sense':
        guide_seq = guide_seq.reverse_complement()
    ind = gene_seq.find(guide_seq)
    if ind ==-1:
        print "returning sequence+'A', could not find guide %s in gene %s" % (guide_seq, gene)
        return gene_seq + 'A'
    assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right"
    #new_mer = gene_seq[ind:(ind+len(guide_seq))+1] #looks correct, but is wrong, due to strand frame-of-reference
    new_mer = gene_seq[(ind-1):(ind+len(guide_seq))] #this actually tacks on an extra one at the end for some reason
    if strand=='sense':
        new_mer = new_mer.reverse_complement()
    return str(new_mer)