File: extract_supertranscript_from_reference.py

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#!/usr/bin/python3
# encoding: utf-8

from __future__ import (absolute_import, division, print_function, unicode_literals)
import argparse
import math
import string
import os


class fasta_input(object):
    def __init__(self, seq):
        super(fasta_input, self).__init__()
        self.buffer_size = os.stat(seq).st_blksize
        self.file = open(seq, "r")
        self.contigs_start_positions = {}
        self.line_length = -1
        self.initialize_fasta_reader()

    def initialize_fasta_reader(self):
        contig_id = None
        buffer_offset = 0
        for line in self.file:
            buffer_offset += len(line)
            if line[0] == ">":
                contig_id = line.rstrip().split(" ")[0][1:]
                self.contigs_start_positions[contig_id] = buffer_offset  # no offset based on contig start index because there are that many N at the begining of the contig to compensate
            elif len(line) > self.line_length + 1:
                self.line_length = len(line.rstrip())

    def finalize(self):
        self.file.close()


def make_supertranscript(seq, contig, translation_table, blocks_out, fasta_out, transcripts_out, current_gene_id, starts, ends, transcript_ids, orientations):
    current_gene_id = current_gene_id.replace("\"", "")
    sstarts = sorted(starts.keys())
    sends = sorted(ends.keys())
    i = j = 0
    current_transcripts = set()
    blocks = []  # (start_position, end_position, [transcript_ids])

    last_position = -1
    while i < len(sstarts) and j < len(sends):
        if sstarts[i] == sends[j]:
            if last_position != sstarts[i]:
                blocks.append((last_position, sstarts[i] - 1, set(current_transcripts)))
            for k in starts[sstarts[i]]:
                current_transcripts.add(transcript_ids[k])
            blocks.append((sstarts[i], sstarts[i], set(current_transcripts)))
            for k in ends[sends[j]]:
                current_transcripts.remove(transcript_ids[k])
            last_position = sstarts[i] + 1
            i += 1
            j += 1
        elif sstarts[i] < sends[j]:
            if last_position > 0 and last_position != sstarts[i]:
                blocks.append((last_position, sstarts[i] - 1, set(current_transcripts)))
            for k in starts[sstarts[i]]:
                current_transcripts.add(transcript_ids[k])
            last_position = sstarts[i]
            i += 1
        elif sstarts[i] > sends[j]:
            blocks.append((last_position, sends[j], set(current_transcripts)))
            for k in ends[sends[j]]:
                current_transcripts.remove(transcript_ids[k])
            last_position = sends[j] + 1
            j += 1

    while j < len(sends):  # closing blocks
        blocks.append((last_position, sends[j], set(current_transcripts)))
        for k in ends[sends[j]]:
            current_transcripts.remove(transcript_ids[k])
        last_position = sends[j] + 1
        j += 1

    ori = set(orientations)
    if len(ori) > 1:
        exit("error, one gene contains exons in both orientations")

    current_position = 1
    ori = ori.pop()
    blocks_buffer = ""
    fasta_buffer = ""
    last_transcripts = None
    transcripts_to_output = {}
    next_opening = 1
    transcript_buffer = ""

    if ori == "+":
        offset = sstarts[0]
        fasta_header_exons = ">" + current_gene_id + " loc:" + contig + "|" + str(blocks[0][0]) + "-" + str(blocks[-1][1]) + "|+ "
        fasta_header_exons += "exons:" + str(blocks[0][0])
        fasta_header_segs = " segs:1"

        for block in blocks:  # (start_position, end_position, [transcript_ids])
            if len(block[2]) > 0:
                end_position = current_position + block[1] - block[0]
                if last_transcripts and block[2] != last_transcripts:
                    blocks_buffer += current_gene_id + "\trtracklayer\texon\t" + str(next_opening) + "\t" + str(current_position - 1) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + current_gene_id + "\"; ID \"" + current_gene_id + "\"\n"
                    for transcript in last_transcripts - block[2]:
                        transcripts_to_output[transcript].append(current_position - 1)
                    for transcript in block[2] - last_transcripts:
                        if transcript not in transcripts_to_output:
                            transcripts_to_output[transcript] = [current_position]
                        else:
                            transcripts_to_output[transcript].append(current_position)
                    last_transcripts = block[2]
                    next_opening = current_position
                elif not last_transcripts:
                    last_transcripts = block[2]
                    for transcript in last_transcripts:
                        transcripts_to_output[transcript] = [1]
                tmp_fasta = get_fasta(seq, contig, block[0], block[1])
                if not tmp_fasta:
                    print("contig " + contig + " from annotation does not exist in the fasta file.")
                    return
                fasta_buffer += tmp_fasta
                current_position = end_position + 1
            else:  # gap
                offset += block[1] - block[0] + 1
                fasta_header_exons += "-" + str(block[0] - 1) + "," + str(block[1] + 1)  # -1 and +1 because the exons end and start at positions around the gap
                fasta_header_segs += "-" + str(current_position - 1) + "," + str(current_position)

        for transcript in last_transcripts:
            transcripts_to_output[transcript].append(current_position - 1)
        for transcript in sorted(transcripts_to_output):
            for i in xrange(0, len(transcripts_to_output[transcript]), 2):
                transcript_buffer += current_gene_id + "\tsuperTranscript\texon\t" + str(transcripts_to_output[transcript][i]) + "\t" + str(transcripts_to_output[transcript][i + 1]) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + transcript + "\"\n"
        transcripts_out.write(transcript_buffer)

        blocks_buffer += current_gene_id + "\trtracklayer\texon\t" + str(next_opening) + "\t" + str(end_position) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + current_gene_id + "\"; ID \"" + current_gene_id + "\"\n"
        blocks_out.write(blocks_buffer)

        fasta_header_segs += "-" + str(current_position - 1)
        write_fasta(fasta_out, fasta_header_exons + "-" + str(blocks[-1][1]), fasta_header_segs, fasta_buffer, seq.line_length)
    elif ori == "-":
        offset = sends[-1]
        fasta_header = ">" + current_gene_id + " loc:" + contig + "|" + str(blocks[0][0]) + "-" + str(blocks[-1][1]) + "|- "
        fasta_header_exons = ""
        fasta_header_segs = " segs:1"
        for i in xrange(len(blocks) - 1, -1, -1):
            block = blocks[i]  # (start_position, end_position, [transcript_ids])
            if len(block[2]) > 0:
                end_position = current_position + block[1] - block[0]
                if last_transcripts and block[2] != last_transcripts:
                    blocks_buffer += current_gene_id + "\trtracklayer\texon\t" + str(next_opening) + "\t" + str(current_position - 1) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + current_gene_id + "\"; ID \"" + current_gene_id + "\"\n"
                    for transcript in last_transcripts - block[2]:
                        transcripts_to_output[transcript].append(current_position - 1)
                    for transcript in block[2] - last_transcripts:
                        if transcript not in transcripts_to_output:
                            transcripts_to_output[transcript] = [current_position]
                        else:
                            transcripts_to_output[transcript].append(current_position)
                    last_transcripts = block[2]
                    next_opening = current_position
                elif not last_transcripts:
                    last_transcripts = block[2]
                    for transcript in last_transcripts:
                        transcripts_to_output[transcript] = [1]
                tmp_fasta = get_fasta(seq, contig, block[0], block[1])
                if not tmp_fasta:
                    print("contig " + contig + " from annotation does not exist in the fasta file.")
                    return
                fasta_buffer = tmp_fasta + fasta_buffer
                current_position = end_position + 1
            else:  # gap
                offset += block[1] - block[0] + 1
                fasta_header_exons = "-" + str(block[0] - 1) + "," + str(block[1] + 1) + fasta_header_exons
                fasta_header_segs += "-" + str(current_position - 1) + "," + str(current_position)

        for transcript in last_transcripts:
            transcripts_to_output[transcript].append(current_position - 1)
        for transcript in sorted(transcripts_to_output):
            for i in xrange(0, len(transcripts_to_output[transcript]), 2):
                transcript_buffer += current_gene_id + "\tsuperTranscript\texon\t" + str(transcripts_to_output[transcript][i]) + "\t" + str(transcripts_to_output[transcript][i + 1]) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + transcript + "\"\n"
        transcripts_out.write(transcript_buffer)

        blocks_buffer += current_gene_id + "\trtracklayer\texon\t" + str(next_opening) + "\t" + str(end_position) + "\t.\t+\t.\tgene_id \"" + current_gene_id + "\"; transcript_id \"" + current_gene_id + "\"; ID \"" + current_gene_id + "\"\n"
        blocks_out.write(blocks_buffer)

        fasta_header_exons = fasta_header + "exons:" + str(blocks[0][0]) + fasta_header_exons + "-" + str(blocks[-1][1])  # [:fasta_header_exons.rfind(",")]
        fasta_header_segs += "-" + str(current_position - 1)
        write_fasta(fasta_out, fasta_header_exons, fasta_header_segs, string.translate(str(fasta_buffer[::-1]), translation_table), seq.line_length)
        # write_fasta(fasta_out, fasta_header_exons, fasta_header_segs, fasta_buffer[::-1].translate(translation_table), seq.line_length)
    else:
        exit("error, invalid orientation " + ori)


def get_fasta(seq, contig, start, end):
    offset = None
    if contig not in seq.contigs_start_positions:
        if len(seq.contigs_start_positions) > 1:
            print("\"" + contig + "\"")
            # exit("Error, contig IDs do not match between annotation and fasta file.")
            return None
        else:
            offset = seq.contigs_start_positions.values()[0]
    else:
        offset = seq.contigs_start_positions[contig]

    offset += start - 1 + int(math.floor((start - 1) / seq.line_length))  # number of characters + new lines
    seq.file.seek(offset, 0)
    line_offset = (start - 1) % seq.line_length
    newlines_offset = int(math.floor((end - start + 1 + line_offset) / seq.line_length))
    sequence = seq.file.read(end - start + 1 + newlines_offset)
    sequence = sequence.replace("\n", "")
    return sequence


def write_fasta(fasta_out, exons, segs, sequence, line_length):
    line_length = 70
    fasta_out.write(exons + segs + "\n")
    for i in xrange(0, len(sequence), line_length):
        fasta_out.write(sequence[i:i + line_length] + "\n")


def main():
    usage = "usage: "
    parser = argparse.ArgumentParser(usage)
    group = parser.add_mutually_exclusive_group(required=True)
    group.add_argument('--gtf', dest="gtf", default=None, type=str, help="Path to gtf annotation file.")
    group.add_argument('--gff3', dest="gff3", default=None, type=str, help="Path to gff3 annotation file.")
    parser.add_argument('--seq', dest="fasta", required=True, type=str, help="Path to fasta file.")
    parser.add_argument('-o', dest="output", required=True, type=str, help="Name base and path for output")
    args = parser.parse_args()

    blocks_out = open(args.output + ".supertranscripts.blocks.gtf", "w")
    fasta_out = open(args.output + ".supertranscripts.fasta", "w")
    transcripts_out = open(args.output + ".supertranscripts.transcripts.gtf", "w")

    translation_table = string.maketrans("ATCGatcg", "TAGCtagc")
    seq = fasta_input(args.fasta)

    i = 0
    starts = {}
    ends = {}
    previous_contig = ""
    transcript_ids = []
    orientations = []
    current_transcript = ""
    current_gene_id = ""
    if args.gtf:
        with open(args.gtf, "r") as annot:
            for l in annot:
                if l[0] == "#":
                    continue
                line = l.rstrip().split("\t")
                if line[2] == "exon":
                    fields = line[8].lstrip().split("; ")
                    current_transcript = ""
                    for f in fields:
                        if "gene_id" in f:
                            if f.split(" ")[1] != current_gene_id:
                                if current_gene_id:
                                    make_supertranscript(seq, previous_contig, translation_table, blocks_out, fasta_out, transcripts_out, current_gene_id, starts, ends, transcript_ids, orientations)
                                current_gene_id = f.split(" ")[1]
                                i = 0
                                starts = {}
                                ends = {}
                                previous_contig = line[0]
                                transcript_ids = []
                                orientations = []
                        if "transcript_id" in f:
                            current_transcript = f.split(" ")[1]
                    if int(line[3]) not in starts:
                        starts[int(line[3])] = []
                    starts[int(line[3])].append(i)
                    if int(line[4]) not in ends:
                        ends[int(line[4])] = []
                    ends[int(line[4])].append(i)
                    i += 1
                    transcript_ids.append(current_transcript.replace("\"", ""))
                    orientations.append(line[6])
        make_supertranscript(seq, previous_contig, translation_table, blocks_out, fasta_out, transcripts_out, current_gene_id, starts, ends, transcript_ids, orientations)
    elif args.gff3:
        to_parents = {}
        with open(args.gff3, "r") as annot:
            for l in annot:
                if l[0] == "#":
                    continue
                line = l.rstrip().split("\t")
                if "Parent" in line[8]:
                    fields = line[8].lstrip().split(";")
                    for f in fields:
                        if "ID=" in f:
                            current_id = f.split("=")[1]
                        elif "Parent=" in f:
                            parents = f.split("=")[1].split(",")
                    current_n_parents = len(parents)
                    if current_id not in to_parents:
                        to_parents[current_id] = parents
                    if line[2] == "exon":
                        for f in fields:
                            # if "gene_id" in f:
                            # if f.split(" ")[1] != current_gene_id:
                            if to_parents[parents[0]][0] != current_gene_id:
                                if current_gene_id:
                                    make_supertranscript(seq, previous_contig, translation_table, blocks_out, fasta_out, transcripts_out, current_gene_id, starts, ends, transcript_ids, orientations)
                                current_gene_id = to_parents[parents[0]][0]
                                i = 0
                                starts = {}
                                ends = {}
                                previous_contig = line[0]
                                transcript_ids = []
                                orientations = []
                        if int(line[3]) not in starts:
                            starts[int(line[3])] = []
                        if int(line[4]) not in ends:
                            ends[int(line[4])] = []
                        for j in xrange(current_n_parents):
                            starts[int(line[3])].append(i)
                            ends[int(line[4])].append(i)
                            i += 1
                            orientations.append(line[6])
                        transcript_ids.extend(to_parents[current_id])
        make_supertranscript(seq, previous_contig, translation_table, blocks_out, fasta_out, transcripts_out, current_gene_id, starts, ends, transcript_ids, orientations)

    seq.finalize()


if __name__ == "__main__":
    main()