def __main__():
    # Parse Command Line
    options, args = doc_optparse.parse(__doc__)
    mincols = 0
    strand_col = -1

    if options.dbkey:
        primary_species = options.dbkey
    else:
        primary_species = None
    if primary_species in [None, "?", "None"]:
        stop_err("You must specify a proper build in order to extract alignments. You can specify your genome build by clicking on the pencil icon associated with your interval file.")

    include_primary = True
    secondary_species = maf_utilities.parse_species_option(options.species)
    if secondary_species:
        species = list(secondary_species)  # make copy of species list
        if primary_species in secondary_species:
            secondary_species.remove(primary_species)
        else:
            include_primary = False
    else:
        species = None

    if options.interval_file:
        interval_file = options.interval_file
    else:
        stop_err("Input interval file has not been specified.")

    if options.output_file:
        output_file = options.output_file
    else:
        stop_err("Output file has not been specified.")

    if not options.geneBED:
        if options.chromCol:
            chr_col = int(options.chromCol) - 1
        else:
            stop_err("Chromosome column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.startCol:
            start_col = int(options.startCol) - 1
        else:
            stop_err("Start column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.endCol:
            end_col = int(options.endCol) - 1
        else:
            stop_err("End column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.strandCol:
            strand_col = int(options.strandCol) - 1

    mafIndexFile = "%s/maf_index.loc" % options.mafIndexFileDir

    overwrite_with_gaps = True
    if options.overwrite_with_gaps and options.overwrite_with_gaps.lower() == 'false':
        overwrite_with_gaps = False

    # Finish parsing command line

    # get index for mafs based on type
    index = index_filename = None
    # using specified uid for locally cached
    if options.mafSourceType.lower() in ["cached"]:
        index = maf_utilities.maf_index_by_uid(options.mafSource, mafIndexFile)
        if index is None:
            stop_err("The MAF source specified (%s) appears to be invalid." % (options.mafSource))
    elif options.mafSourceType.lower() in ["user"]:
        # index maf for use here, need to remove index_file when finished
        index, index_filename = maf_utilities.open_or_build_maf_index(options.mafSource, options.mafIndex, species=[primary_species])
        if index is None:
            stop_err("Your MAF file appears to be malformed.")
    else:
        stop_err("Invalid MAF source type specified.")

    # open output file
    output = open(output_file, "w")

    if options.geneBED:
        region_enumerator = maf_utilities.line_enumerator(open(interval_file, "r").readlines())
    else:
        region_enumerator = enumerate(bx.intervals.io.NiceReaderWrapper(
            open(interval_file, 'r'), chrom_col=chr_col, start_col=start_col,
            end_col=end_col, strand_col=strand_col, fix_strand=True,
            return_header=False, return_comments=False))

    # Step through intervals
    regions_extracted = 0
    line_count = 0
    for line_count, line in region_enumerator:
        try:
            if options.geneBED:  # Process as Gene BED
                try:
                    starts, ends, fields = maf_utilities.get_starts_ends_fields_from_gene_bed(line)
                    # create spliced alignment object
                    alignment = maf_utilities.get_spliced_region_alignment(
                        index, primary_species, fields[0], starts, ends,
                        strand='+', species=species, mincols=mincols,
                        overwrite_with_gaps=overwrite_with_gaps)
                    primary_name = secondary_name = fields[3]
                    alignment_strand = fields[5]
                except Exception as e:
                    print("Error loading exon positions from input line %i: %s" % (line_count, e))
                    continue
            else:  # Process as standard intervals
                try:
                    # create spliced alignment object
                    alignment = maf_utilities.get_region_alignment(
                        index, primary_species, line.chrom, line.start,
                        line.end, strand='+', species=species, mincols=mincols,
                        overwrite_with_gaps=overwrite_with_gaps)
                    primary_name = "%s(%s):%s-%s" % (line.chrom, line.strand, line.start, line.end)
                    secondary_name = ""
                    alignment_strand = line.strand
                except Exception as e:
                    print("Error loading region positions from input line %i: %s" % (line_count, e))
                    continue

            # Write alignment to output file
            # Output primary species first, if requested
            if include_primary:
                output.write(">%s.%s\n" % (primary_species, primary_name))
                if alignment_strand == "-":
                    output.write(alignment.get_sequence_reverse_complement(primary_species))
                else:
                    output.write(alignment.get_sequence(primary_species))
                output.write("\n")
            # Output all remainging species
            for spec in secondary_species or alignment.get_species_names(skip=primary_species):
                if secondary_name:
                    output.write(">%s.%s\n" % (spec, secondary_name))
                else:
                    output.write(">%s\n" % (spec))
                if alignment_strand == "-":
                    output.write(alignment.get_sequence_reverse_complement(spec))
                else:
                    output.write(alignment.get_sequence(spec))
                output.write("\n")

            output.write("\n")
            regions_extracted += 1
        except Exception as e:
            print("Unexpected error from input line %i: %s" % (line_count, e))
            continue

    # close output file
    output.close()

    # remove index file if created during run
    maf_utilities.remove_temp_index_file(index_filename)

    # Print message about success for user
    if regions_extracted > 0:
        print("%i regions were processed successfully." % (regions_extracted))
    else:
        print("No regions were processed successfully.")
        if line_count > 0 and options.geneBED:
            print("This tool requires your input file to conform to the 12 column BED standard.")
Пример #2
0
                if alignment_strand == "-":
                    output.write(
                        alignment.get_sequence_reverse_complement(spec))
                else:
                    output.write(alignment.get_sequence(spec))
                output.write("\n")

            output.write("\n")
            regions_extracted += 1
        except Exception, e:
            print "Unexpected error from input line %i: %s" % (line_count, e)
            continue

    # close output file
    output.close()

    # remove index file if created during run
    maf_utilities.remove_temp_index_file(index_filename)

    # Print message about success for user
    if regions_extracted > 0:
        print "%i regions were processed successfully." % (regions_extracted)
    else:
        print "No regions were processed successfully."
        if line_count > 0 and options.geneBED:
            print "This tool requires your input file to conform to the 12 column BED standard."


if __name__ == "__main__":
    __main__()
Пример #3
0
def __main__():
    # Parse Command Line
    options, args = doc_optparse.parse(__doc__)
    mincols = 0
    strand_col = -1

    if options.dbkey:
        primary_species = options.dbkey
    else:
        primary_species = None
    if primary_species in [None, "?", "None"]:
        stop_err("You must specify a proper build in order to extract alignments. You can specify your genome build by clicking on the pencil icon associated with your interval file.")

    include_primary = True
    secondary_species = maf_utilities.parse_species_option(options.species)
    if secondary_species:
        species = list(secondary_species)  # make copy of species list
        if primary_species in secondary_species:
            secondary_species.remove(primary_species)
        else:
            include_primary = False
    else:
        species = None

    if options.interval_file:
        interval_file = options.interval_file
    else:
        stop_err("Input interval file has not been specified.")

    if options.output_file:
        output_file = options.output_file
    else:
        stop_err("Output file has not been specified.")

    if not options.geneBED:
        if options.chromCol:
            chr_col = int(options.chromCol) - 1
        else:
            stop_err("Chromosome column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.startCol:
            start_col = int(options.startCol) - 1
        else:
            stop_err("Start column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.endCol:
            end_col = int(options.endCol) - 1
        else:
            stop_err("End column not set, click the pencil icon in the history item to set the metadata attributes.")

        if options.strandCol:
            strand_col = int(options.strandCol) - 1

    mafIndexFile = "%s/maf_index.loc" % options.mafIndexFileDir

    overwrite_with_gaps = True
    if options.overwrite_with_gaps and options.overwrite_with_gaps.lower() == 'false':
        overwrite_with_gaps = False

    # Finish parsing command line

    # get index for mafs based on type
    index = index_filename = None
    # using specified uid for locally cached
    if options.mafSourceType.lower() in ["cached"]:
        index = maf_utilities.maf_index_by_uid(options.mafSource, mafIndexFile)
        if index is None:
            stop_err("The MAF source specified (%s) appears to be invalid." % (options.mafSource))
    elif options.mafSourceType.lower() in ["user"]:
        # index maf for use here, need to remove index_file when finished
        index, index_filename = maf_utilities.open_or_build_maf_index(options.mafSource, options.mafIndex, species=[primary_species])
        if index is None:
            stop_err("Your MAF file appears to be malformed.")
    else:
        stop_err("Invalid MAF source type specified.")

    # open output file
    output = open(output_file, "w")

    if options.geneBED:
        region_enumerator = maf_utilities.line_enumerator(open(interval_file, "r").readlines())
    else:
        region_enumerator = enumerate(bx.intervals.io.NiceReaderWrapper(
            open(interval_file, 'r'), chrom_col=chr_col, start_col=start_col,
            end_col=end_col, strand_col=strand_col, fix_strand=True,
            return_header=False, return_comments=False))

    # Step through intervals
    regions_extracted = 0
    line_count = 0
    for line_count, line in region_enumerator:
        try:
            if options.geneBED:  # Process as Gene BED
                try:
                    starts, ends, fields = maf_utilities.get_starts_ends_fields_from_gene_bed(line)
                    # create spliced alignment object
                    alignment = maf_utilities.get_spliced_region_alignment(
                        index, primary_species, fields[0], starts, ends,
                        strand='+', species=species, mincols=mincols,
                        overwrite_with_gaps=overwrite_with_gaps)
                    primary_name = secondary_name = fields[3]
                    alignment_strand = fields[5]
                except Exception as e:
                    print("Error loading exon positions from input line %i: %s" % (line_count, e))
                    continue
            else:  # Process as standard intervals
                try:
                    # create spliced alignment object
                    alignment = maf_utilities.get_region_alignment(
                        index, primary_species, line.chrom, line.start,
                        line.end, strand='+', species=species, mincols=mincols,
                        overwrite_with_gaps=overwrite_with_gaps)
                    primary_name = "%s(%s):%s-%s" % (line.chrom, line.strand, line.start, line.end)
                    secondary_name = ""
                    alignment_strand = line.strand
                except Exception as e:
                    print("Error loading region positions from input line %i: %s" % (line_count, e))
                    continue

            # Write alignment to output file
            # Output primary species first, if requested
            if include_primary:
                output.write(">%s.%s\n" % (primary_species, primary_name))
                if alignment_strand == "-":
                    output.write(alignment.get_sequence_reverse_complement(primary_species))
                else:
                    output.write(alignment.get_sequence(primary_species))
                output.write("\n")
            # Output all remainging species
            for spec in secondary_species or alignment.get_species_names(skip=primary_species):
                if secondary_name:
                    output.write(">%s.%s\n" % (spec, secondary_name))
                else:
                    output.write(">%s\n" % (spec))
                if alignment_strand == "-":
                    output.write(alignment.get_sequence_reverse_complement(spec))
                else:
                    output.write(alignment.get_sequence(spec))
                output.write("\n")

            output.write("\n")
            regions_extracted += 1
        except Exception as e:
            print("Unexpected error from input line %i: %s" % (line_count, e))
            continue

    # close output file
    output.close()

    # remove index file if created during run
    maf_utilities.remove_temp_index_file(index_filename)

    # Print message about success for user
    if regions_extracted > 0:
        print("%i regions were processed successfully." % (regions_extracted))
    else:
        print("No regions were processed successfully.")
        if line_count > 0 and options.geneBED:
            print("This tool requires your input file to conform to the 12 column BED standard.")
Пример #4
0
def __main__():
    maf_source_type = sys.argv.pop( 1 )
    input_maf_filename = sys.argv[1].strip()
    input_interval_filename = sys.argv[2].strip()
    output_filename = sys.argv[3].strip()
    dbkey = sys.argv[4].strip()
    try:
        chr_col  = int( sys.argv[5].strip() ) - 1
        start_col = int( sys.argv[6].strip() ) - 1
        end_col = int( sys.argv[7].strip() ) - 1
    except:
        print >>sys.stderr, "You appear to be missing metadata. You can specify your metadata by clicking on the pencil icon associated with your interval file."
        sys.exit()
    summary = sys.argv[8].strip()
    if summary.lower() == "true": summary = True
    else: summary = False

    mafIndexFile = "%s/maf_index.loc" % sys.argv[9]
    try:
        maf_index_filename = sys.argv[10].strip()
    except:
        maf_index_filename = None
    index = index_filename = None
    if maf_source_type == "user":
        #index maf for use here
        index, index_filename = maf_utilities.open_or_build_maf_index( input_maf_filename, maf_index_filename, species = [dbkey] )
        if index is None:
            print >>sys.stderr, "Your MAF file appears to be malformed."
            sys.exit()
    elif maf_source_type == "cached":
        #access existing indexes
        index = maf_utilities.maf_index_by_uid( input_maf_filename, mafIndexFile )
        if index is None:
            print >> sys.stderr, "The MAF source specified (%s) appears to be invalid." % ( input_maf_filename )
            sys.exit()
    else:
        print >>sys.stdout, 'Invalid source type specified: %s' % maf_source_type 
        sys.exit()
        
    out = open(output_filename, 'w')
    
    num_region = 0
    species_summary = {}
    total_length = 0
    #loop through interval file
    for num_region, region in enumerate( bx.intervals.io.NiceReaderWrapper( open( input_interval_filename, 'r' ), chrom_col = chr_col, start_col = start_col, end_col = end_col, fix_strand = True, return_header = False, return_comments = False ) ):
        src = "%s.%s" % ( dbkey, region.chrom )
        region_length = region.end - region.start
        total_length += region_length
        coverage = { dbkey: BitSet( region_length ) }
        
        for block in maf_utilities.get_chopped_blocks_for_region( index, src, region, force_strand='+' ):
            #make sure all species are known
            for c in block.components:
                spec = c.src.split( '.' )[0]
                if spec not in coverage: coverage[spec] = BitSet( region_length )
            start_offset, alignment = maf_utilities.reduce_block_by_primary_genome( block, dbkey, region.chrom, region.start )
            for i in range( len( alignment[dbkey] ) ):
                for spec, text in alignment.items():
                    if text[i] != '-':
                        coverage[spec].set( start_offset + i )
        if summary:
            #record summary
            for key in coverage.keys():
                if key not in species_summary: species_summary[key] = 0
                species_summary[key] = species_summary[key] + coverage[key].count_range()
        else:
            #print coverage for interval
            coverage_sum = coverage[dbkey].count_range()
            out.write( "%s\t%s\t%s\t%s\n" % ( "\t".join( region.fields ), dbkey, coverage_sum, region_length - coverage_sum ) )
            keys = coverage.keys()
            keys.remove( dbkey )
            keys.sort()
            for key in keys:
                coverage_sum = coverage[key].count_range()
                out.write( "%s\t%s\t%s\t%s\n" % ( "\t".join( region.fields ), key, coverage_sum, region_length - coverage_sum ) )
    if summary:
        out.write( "#species\tnucleotides\tcoverage\n" )
        for spec in species_summary:
            out.write( "%s\t%s\t%.4f\n" % ( spec, species_summary[spec], float( species_summary[spec] ) / total_length ) )
    out.close()
    print "%i regions were processed with a total length of %i." % ( num_region, total_length )
    maf_utilities.remove_temp_index_file( index_filename )
Пример #5
0
def __main__():
    index = index_filename = None

    # Parse Command Line
    options, args = doc_optparse.parse(__doc__)

    if options.dbkey:
        dbkey = options.dbkey
    else:
        dbkey = None
    if dbkey in [None, "?"]:
        maf_utilities.tool_fail(
            "You must specify a proper build in order to extract alignments. You can specify your genome build by clicking on the pencil icon associated with your interval file."
        )

    species = maf_utilities.parse_species_option(options.species)

    if options.chromCol:
        chromCol = int(options.chromCol) - 1
    else:
        maf_utilities.tool_fail(
            "Chromosome column not set, click the pencil icon in the history item to set the metadata attributes."
        )

    if options.startCol:
        startCol = int(options.startCol) - 1
    else:
        maf_utilities.tool_fail(
            "Start column not set, click the pencil icon in the history item to set the metadata attributes."
        )

    if options.endCol:
        endCol = int(options.endCol) - 1
    else:
        maf_utilities.tool_fail(
            "End column not set, click the pencil icon in the history item to set the metadata attributes."
        )

    if options.strandCol:
        strandCol = int(options.strandCol) - 1
    else:
        strandCol = -1

    if options.interval_file:
        interval_file = options.interval_file
    else:
        maf_utilities.tool_fail("Input interval file has not been specified.")

    if options.output_file:
        output_file = options.output_file
    else:
        maf_utilities.tool_fail("Output file has not been specified.")

    split_blocks_by_species = remove_all_gap_columns = False
    if options.split_blocks_by_species and options.split_blocks_by_species == 'split_blocks_by_species':
        split_blocks_by_species = True
        if options.remove_all_gap_columns and options.remove_all_gap_columns == 'remove_all_gap_columns':
            remove_all_gap_columns = True
    else:
        remove_all_gap_columns = True
    # Finish parsing command line

    # Open indexed access to MAFs
    if options.mafType:
        if options.indexLocation:
            index = maf_utilities.maf_index_by_uid(options.mafType,
                                                   options.indexLocation)
        else:
            index = maf_utilities.maf_index_by_uid(options.mafType,
                                                   options.mafIndexFile)
        if index is None:
            maf_utilities.tool_fail(
                "The MAF source specified (%s) appears to be invalid." %
                (options.mafType))
    elif options.mafFile:
        index, index_filename = maf_utilities.open_or_build_maf_index(
            options.mafFile, options.mafIndex, species=[dbkey])
        if index is None:
            maf_utilities.tool_fail("Your MAF file appears to be malformed.")
    else:
        maf_utilities.tool_fail(
            "Desired source MAF type has not been specified.")

    # Create MAF writter
    out = bx.align.maf.Writer(open(output_file, "w"))

    # Iterate over input regions
    num_blocks = 0
    num_regions = None
    for num_regions, region in enumerate(
            bx.intervals.io.NiceReaderWrapper(
                open(interval_file),
                chrom_col=chromCol,
                start_col=startCol,
                end_col=endCol,
                strand_col=strandCol,
                fix_strand=True,
                return_header=False,
                return_comments=False)):  # noqa: B007
        src = maf_utilities.src_merge(dbkey, region.chrom)
        for block in index.get_as_iterator(src, region.start, region.end):
            if split_blocks_by_species:
                blocks = [
                    new_block for new_block in
                    maf_utilities.iter_blocks_split_by_species(block)
                    if maf_utilities.component_overlaps_region(
                        new_block.get_component_by_src_start(dbkey), region)
                ]
            else:
                blocks = [block]
            for block in blocks:
                block = maf_utilities.chop_block_by_region(block, src, region)
                if block is not None:
                    if species is not None:
                        block = block.limit_to_species(species)
                    block = maf_utilities.orient_block_by_region(
                        block, src, region)
                    if remove_all_gap_columns:
                        block.remove_all_gap_columns()
                    out.write(block)
                    num_blocks += 1

    # Close output MAF
    out.close()

    # remove index file if created during run
    maf_utilities.remove_temp_index_file(index_filename)

    if num_blocks:
        print("%i MAF blocks extracted for %i regions." % (num_blocks,
                                                           (num_regions + 1)))
    elif num_regions is not None:
        print("No MAF blocks could be extracted for %i regions." %
              (num_regions + 1))
    else:
        print("No valid regions have been provided.")
                    output.write( ">%s\n" % ( spec ) )
                if alignment_strand == "-":
                    output.write( alignment.get_sequence_reverse_complement( spec ) )
                else:
                    output.write( alignment.get_sequence( spec ) )
                output.write( "\n" )
            
            output.write( "\n" )
            
            regions_extracted += 1
        
        except Exception, e:
            print "Unexpected error from input line %i: %s" % ( line_count, e )
            continue
    
    #close output file
    output.close()
    
    #remove index file if created during run
    maf_utilities.remove_temp_index_file( index_filename )
    
    #Print message about success for user
    if regions_extracted > 0:
        print "%i regions were processed successfully." % ( regions_extracted )
    else:
        print "No regions were processed successfully."
        if line_count > 0 and options.geneBED:
            print "This tool requires your input file to conform to the 12 column BED standard."

if __name__ == "__main__": __main__()
Пример #7
0
def __main__():
    maf_source_type = sys.argv.pop(1)
    input_maf_filename = sys.argv[1].strip()
    input_interval_filename = sys.argv[2].strip()
    output_filename = sys.argv[3].strip()
    dbkey = sys.argv[4].strip()
    try:
        chr_col = int(sys.argv[5].strip()) - 1
        start_col = int(sys.argv[6].strip()) - 1
        end_col = int(sys.argv[7].strip()) - 1
    except Exception:
        print(
            "You appear to be missing metadata. You can specify your metadata by clicking on the pencil icon associated with your interval file.",
            file=sys.stderr)
        sys.exit()
    summary = sys.argv[8].strip()
    if summary.lower() == "true":
        summary = True
    else:
        summary = False

    mafIndexFile = "%s/maf_index.loc" % sys.argv[9]
    try:
        maf_index_filename = sys.argv[10].strip()
    except Exception:
        maf_index_filename = None
    index = index_filename = None
    if maf_source_type == "user":
        # index maf for use here
        index, index_filename = maf_utilities.open_or_build_maf_index(
            input_maf_filename, maf_index_filename, species=[dbkey])
        if index is None:
            print("Your MAF file appears to be malformed.", file=sys.stderr)
            sys.exit()
    elif maf_source_type == "cached":
        # access existing indexes
        index = maf_utilities.maf_index_by_uid(input_maf_filename,
                                               mafIndexFile)
        if index is None:
            print("The MAF source specified (%s) appears to be invalid." %
                  (input_maf_filename),
                  file=sys.stderr)
            sys.exit()
    else:
        print('Invalid source type specified: %s' % maf_source_type,
              file=sys.stdout)
        sys.exit()

    out = open(output_filename, 'w')

    num_region = None
    num_bad_region = 0
    species_summary = {}
    total_length = 0
    # loop through interval file
    for num_region, region in enumerate(
            bx.intervals.io.NiceReaderWrapper(
                open(input_interval_filename, 'r'),
                chrom_col=chr_col,
                start_col=start_col,
                end_col=end_col,
                fix_strand=True,
                return_header=False,
                return_comments=False)):  # noqa: B007
        src = "%s.%s" % (dbkey, region.chrom)
        region_length = region.end - region.start
        if region_length < 1:
            num_bad_region += 1
            continue
        total_length += region_length
        coverage = {dbkey: BitSet(region_length)}

        for block in index.get_as_iterator(src, region.start, region.end):
            for spec in maf_utilities.get_species_in_block(block):
                if spec not in coverage:
                    coverage[spec] = BitSet(region_length)
            for block in maf_utilities.iter_blocks_split_by_species(block):
                if maf_utilities.component_overlaps_region(
                        block.get_component_by_src(src), region):
                    # need to chop and orient the block
                    block = maf_utilities.orient_block_by_region(
                        maf_utilities.chop_block_by_region(block, src, region),
                        src,
                        region,
                        force_strand='+')
                    start_offset, alignment = maf_utilities.reduce_block_by_primary_genome(
                        block, dbkey, region.chrom, region.start)
                    for i in range(len(alignment[dbkey])):
                        for spec, text in alignment.items():
                            if text[i] != '-':
                                coverage[spec].set(start_offset + i)
        if summary:
            # record summary
            for key in coverage.keys():
                if key not in species_summary:
                    species_summary[key] = 0
                species_summary[
                    key] = species_summary[key] + coverage[key].count_range()
        else:
            # print coverage for interval
            coverage_sum = coverage[dbkey].count_range()
            out.write("%s\t%s\t%s\t%s\n" %
                      ("\t".join(region.fields), dbkey, coverage_sum,
                       region_length - coverage_sum))
            keys = list(coverage.keys())
            keys.remove(dbkey)
            keys.sort()
            for key in keys:
                coverage_sum = coverage[key].count_range()
                out.write("%s\t%s\t%s\t%s\n" %
                          ("\t".join(region.fields), key, coverage_sum,
                           region_length - coverage_sum))
    if summary:
        out.write("#species\tnucleotides\tcoverage\n")
        for spec in species_summary:
            out.write("%s\t%s\t%.4f\n" %
                      (spec, species_summary[spec],
                       float(species_summary[spec]) / total_length))
    out.close()
    if num_region is not None:
        print("%i regions were processed with a total length of %i." %
              (num_region + 1, total_length))
    if num_bad_region:
        print("%i regions were invalid." % (num_bad_region))
    maf_utilities.remove_temp_index_file(index_filename)
Пример #8
0
def __main__():
    index = index_filename = None

    # Parse Command Line
    options, args = doc_optparse.parse(__doc__)

    if options.dbkey:
        dbkey = options.dbkey
    else:
        dbkey = None
    if dbkey in [None, "?"]:
        maf_utilities.tool_fail("You must specify a proper build in order to extract alignments. You can specify your genome build by clicking on the pencil icon associated with your interval file.")

    species = maf_utilities.parse_species_option(options.species)

    if options.chromCol:
        chromCol = int(options.chromCol) - 1
    else:
        maf_utilities.tool_fail("Chromosome column not set, click the pencil icon in the history item to set the metadata attributes.")

    if options.startCol:
        startCol = int(options.startCol) - 1
    else:
        maf_utilities.tool_fail("Start column not set, click the pencil icon in the history item to set the metadata attributes.")

    if options.endCol:
        endCol = int(options.endCol) - 1
    else:
        maf_utilities.tool_fail("End column not set, click the pencil icon in the history item to set the metadata attributes.")

    if options.strandCol:
        strandCol = int(options.strandCol) - 1
    else:
        strandCol = -1

    if options.interval_file:
        interval_file = options.interval_file
    else:
        maf_utilities.tool_fail("Input interval file has not been specified.")

    if options.output_file:
        output_file = options.output_file
    else:
        maf_utilities.tool_fail("Output file has not been specified.")

    split_blocks_by_species = remove_all_gap_columns = False
    if options.split_blocks_by_species and options.split_blocks_by_species == 'split_blocks_by_species':
        split_blocks_by_species = True
        if options.remove_all_gap_columns and options.remove_all_gap_columns == 'remove_all_gap_columns':
            remove_all_gap_columns = True
    else:
        remove_all_gap_columns = True
    # Finish parsing command line

    # Open indexed access to MAFs
    if options.mafType:
        if options.indexLocation:
            index = maf_utilities.maf_index_by_uid(options.mafType, options.indexLocation)
        else:
            index = maf_utilities.maf_index_by_uid(options.mafType, options.mafIndexFile)
        if index is None:
            maf_utilities.tool_fail("The MAF source specified (%s) appears to be invalid." % (options.mafType))
    elif options.mafFile:
        index, index_filename = maf_utilities.open_or_build_maf_index(options.mafFile, options.mafIndex, species=[dbkey])
        if index is None:
            maf_utilities.tool_fail("Your MAF file appears to be malformed.")
    else:
        maf_utilities.tool_fail("Desired source MAF type has not been specified.")

    # Create MAF writter
    out = bx.align.maf.Writer(open(output_file, "w"))

    # Iterate over input regions
    num_blocks = 0
    num_regions = None
    for num_regions, region in enumerate(bx.intervals.io.NiceReaderWrapper(open(interval_file, 'r'), chrom_col=chromCol, start_col=startCol, end_col=endCol, strand_col=strandCol, fix_strand=True, return_header=False, return_comments=False)):
        src = maf_utilities.src_merge(dbkey, region.chrom)
        for block in index.get_as_iterator(src, region.start, region.end):
            if split_blocks_by_species:
                blocks = [new_block for new_block in maf_utilities.iter_blocks_split_by_species(block) if maf_utilities.component_overlaps_region(new_block.get_component_by_src_start(dbkey), region)]
            else:
                blocks = [block]
            for block in blocks:
                block = maf_utilities.chop_block_by_region(block, src, region)
                if block is not None:
                    if species is not None:
                        block = block.limit_to_species(species)
                    block = maf_utilities.orient_block_by_region(block, src, region)
                    if remove_all_gap_columns:
                        block.remove_all_gap_columns()
                    out.write(block)
                    num_blocks += 1

    # Close output MAF
    out.close()

    # remove index file if created during run
    maf_utilities.remove_temp_index_file(index_filename)

    if num_blocks:
        print("%i MAF blocks extracted for %i regions." % (num_blocks, (num_regions + 1)))
    elif num_regions is not None:
        print("No MAF blocks could be extracted for %i regions." % (num_regions + 1))
    else:
        print("No valid regions have been provided.")
Пример #9
0
def __main__():
    index = index_filename = None
    mincols = 0
    
    #Parse Command Line
    options, args = doc_optparse.parse( __doc__ )
    
    if options.dbkey: dbkey = options.dbkey
    else: dbkey = None
    if dbkey in [None, "?"]:
        print >>sys.stderr, "You must specify a proper build in order to extract alignments. You can specify your genome build by clicking on the pencil icon associated with your interval file."
        sys.exit()
    
    species = maf_utilities.parse_species_option( options.species )
    
    if options.chromCol: chromCol = int( options.chromCol ) - 1
    else: 
        print >>sys.stderr, "Chromosome column not set, click the pencil icon in the history item to set the metadata attributes."
        sys.exit()
    
    if options.startCol: startCol = int( options.startCol ) - 1
    else: 
        print >>sys.stderr, "Start column not set, click the pencil icon in the history item to set the metadata attributes."
        sys.exit()
    
    if options.endCol: endCol = int( options.endCol ) - 1
    else: 
        print >>sys.stderr, "End column not set, click the pencil icon in the history item to set the metadata attributes."
        sys.exit()
    
    if options.strandCol: strandCol = int( options.strandCol ) - 1
    else: 
        strandCol = -1
    
    if options.interval_file: interval_file = options.interval_file
    else: 
        print >>sys.stderr, "Input interval file has not been specified."
        sys.exit()
    
    if options.output_file: output_file = options.output_file
    else: 
        print >>sys.stderr, "Output file has not been specified."
        sys.exit()
    #Finish parsing command line
    
    #Open indexed access to MAFs
    if options.mafType:
        if options.indexLocation:
            index = maf_utilities.maf_index_by_uid( options.mafType, options.indexLocation )
        else:
            index = maf_utilities.maf_index_by_uid( options.mafType, options.mafIndexFile )
        if index is None:
            print >> sys.stderr, "The MAF source specified (%s) appears to be invalid." % ( options.mafType )
            sys.exit()
    elif options.mafFile:
        index, index_filename = maf_utilities.open_or_build_maf_index( options.mafFile, options.mafIndex, species = [dbkey] )
        if index is None:
            print >> sys.stderr, "Your MAF file appears to be malformed."
            sys.exit()
    else:
        print >>sys.stderr, "Desired source MAF type has not been specified."
        sys.exit()
    
    #Create MAF writter
    out = bx.align.maf.Writer( open(output_file, "w") )
    
    #Iterate over input regions 
    num_blocks = 0
    num_regions = None
    for num_regions, region in enumerate( bx.intervals.io.NiceReaderWrapper( open( interval_file, 'r' ), chrom_col = chromCol, start_col = startCol, end_col = endCol, strand_col = strandCol, fix_strand = True, return_header = False, return_comments = False ) ):
        src = "%s.%s" % ( dbkey, region.chrom )
        for block in maf_utilities.get_chopped_blocks_for_region( index, src, region, species, mincols ):
            out.write( block )
            num_blocks += 1
    
    #Close output MAF
    out.close()
    
    #remove index file if created during run
    maf_utilities.remove_temp_index_file( index_filename )
    
    if num_blocks:
        print "%i MAF blocks extracted for %i regions." % ( num_blocks, ( num_regions + 1 ) )
    elif num_regions is not None:
        print "No MAF blocks could be extracted for %i regions." % ( num_regions + 1 )
    else:
        print "No valid regions have been provided."