def createMAFAlignment(infiles, outfile):
    """
    Takes all .axt files in the input directory, filters them to remove
    files based on supplied regular expressions, converts to a single maf file
    using axtToMaf, filters maf alignments under a specified length.
    """
    outfile = P.snip(outfile, ".gz")
    axt_dir = PARAMS["phyloCSF_location_axt"]
    to_ignore = re.compile(PARAMS["phyloCSF_ignore"])

    axt_files = []
    for axt_file in os.listdir(axt_dir):
        if axt_file.endswith("net.axt.gz") and not to_ignore.search(axt_file):
            axt_files.append(os.path.join(axt_dir, axt_file))
    axt_files = (" ").join(sorted(axt_files))

    E.info("axt files from which MAF alignment will be created: %s" %
           axt_files)

    target_genome = PARAMS["phyloCSF_target_genome"]
    target_contigs = os.path.join(PARAMS["annotations_annotations_dir"],
                                  PARAMS_ANNOTATIONS["interface_contigs"])
    query_genome = PARAMS["phyloCSF_query_genome"]
    query_contigs = os.path.join(PARAMS["phyloCSF_query_assembly"],
                                 PARAMS_ANNOTATIONS["interface_contigs"])

    tmpf1 = P.getTempFilename("./phyloCSF")
    tmpf2 = P.getTempFilename("./phyloCSF")
    to_cluster = False
    # concatenate axt files, then remove headers
    statement = ("zcat %(axt_files)s"
                 " > %(tmpf1)s;"
                 " axtToMaf "
                 "  -tPrefix=%(target_genome)s."
                 "  -qPrefix=%(query_genome)s."
                 "  %(tmpf1)s"
                 "  %(target_contigs)s"
                 "  %(query_contigs)s"
                 "  %(tmpf2)s")
    P.run()

    E.info("Temporary axt file created %s" % os.path.abspath(tmpf1))
    E.info("Temporary maf file created %s" % os.path.abspath(tmpf2))

    removed = P.snip(outfile, ".maf") + "_removed.maf"
    to_cluster = False
    filtered = PipelineLncRNA.filterMAF(tmpf2,
                                        outfile,
                                        removed,
                                        PARAMS["phyloCSF_filter_alignments"])
    E.info("%s blocks were ignored in MAF alignment"
           " because length of target alignment was too short" % filtered[0])
    E.info("%s blocks were output to filtered MAF alignment" % filtered[1])

    os.unlink(tmpf1)
    os.unlink(tmpf2)
    to_cluster = False
    statement = ("gzip %(outfile)s;"
                 " gzip %(removed)s")
    P.run()
def createMAFAlignment(infiles, outfile):
    """
    Takes all .axt files in the input directory, filters them to remove
    files based on supplied regular expressions, converts to a single maf file
    using axtToMaf, filters maf alignments under a specified length.
    """
    outfile = P.snip(outfile, ".gz")
    axt_dir = PARAMS["phyloCSF_location_axt"]
    to_ignore = re.compile(PARAMS["phyloCSF_ignore"])

    axt_files = []
    for axt_file in os.listdir(axt_dir):
        if axt_file.endswith("net.axt.gz") and not to_ignore.search(axt_file):
            axt_files.append(os.path.join(axt_dir, axt_file))
    axt_files = (" ").join(sorted(axt_files))

    E.info("axt files from which MAF alignment will be created: %s" %
           axt_files)

    target_genome = PARAMS["phyloCSF_target_genome"]
    target_contigs = os.path.join(PARAMS["annotations_dir"],
                                  PARAMS["annotations_interface_contigs"])
    query_genome = PARAMS["phyloCSF_query_genome"]
    query_contigs = os.path.join(PARAMS["phyloCSF_query_assembly"],
                                 PARAMS["annotations_interface_contigs"])

    tmpf1 = P.getTempFilename("./phyloCSF")
    tmpf2 = P.getTempFilename("./phyloCSF")
    to_cluster = False
    # concatenate axt files, then remove headers
    statement = ("zcat %(axt_files)s"
                 " > %(tmpf1)s;"
                 " axtToMaf "
                 "  -tPrefix=%(target_genome)s."
                 "  -qPrefix=%(query_genome)s."
                 "  %(tmpf1)s"
                 "  %(target_contigs)s"
                 "  %(query_contigs)s"
                 "  %(tmpf2)s")
    P.run()

    E.info("Temporary axt file created %s" % os.path.abspath(tmpf1))
    E.info("Temporary maf file created %s" % os.path.abspath(tmpf2))

    removed = P.snip(outfile, ".maf") + "_removed.maf"
    to_cluster = False
    filtered = PipelineLncRNA.filterMAF(tmpf2,
                                        outfile,
                                        removed,
                                        PARAMS["phyloCSF_filter_alignments"])
    E.info("%s blocks were ignored in MAF alignment"
           " because length of target alignment was too short" % filtered[0])
    E.info("%s blocks were output to filtered MAF alignment" % filtered[1])

    os.unlink(tmpf1)
    os.unlink(tmpf2)
    to_cluster = False
    statement = ("gzip %(outfile)s;"
                 " gzip %(removed)s")
    P.run()