def multiple_exon_alnmt(gene_list, db_info):


    print "process pid: %d, length of gene list: %d" % ( get_process_id(), len(gene_list))

    [local_db, ensembl_db_name] = db_info

    db     = connect_to_mysql()
    cfg    = ConfigurationReader()
    acg    = AlignmentCommandGenerator()
    cursor = db.cursor()

    # find db ids adn common names for each species db
    [all_species, ensembl_db_name] = get_species (cursor)
    

    species  = 'homo_sapiens'
    switch_to_db (cursor,  ensembl_db_name[species])
    gene_ids = get_gene_ids (cursor, biotype='protein_coding', is_known=1)

    # for each human gene
    gene_ct = 0
    tot  = 0
    ok   = 0
    no_maps        = 0
    no_pepseq      = 0
    no_orthologues = 0
    min_similarity = cfg.get_value('min_accptbl_exon_sim')

    #gene_list.reverse()
    for gene_id in gene_list:

        start = time()
        gene_ct += 1
        if  not gene_ct%10: print gene_ct, "genes out of", len(gene_list)

        switch_to_db (cursor, ensembl_db_name['homo_sapiens'])
        print gene_ct, len(gene_ids),  gene_id,  gene2stable(cursor, gene_id), get_description (cursor, gene_id)

        human_exons = filter (lambda e: e.is_known==1 and e.is_coding and e.covering_exon<0, gene2exon_list(cursor, gene_id))
        human_exons.sort(key=lambda exon: exon.start_in_gene)

        ##################################################################
        for human_exon in human_exons:
            
            tot += 1

            # find all orthologous exons the human exon  maps to
            maps = get_maps(cursor, ensembl_db_name, human_exon.exon_id, human_exon.is_known)
            if verbose: 
                print "\texon no.", tot, " id", human_exon.exon_id,
                if not maps: 
                    print " no maps"
                    print human_exon
                print 
            if not maps: 
                no_maps += 1
                continue

  
            # human sequence to fasta:
            seqname   = "{0}:{1}:{2}".format('homo_sapiens', human_exon.exon_id, human_exon.is_known)
            switch_to_db (cursor, ensembl_db_name['homo_sapiens'])
            [exon_seq_id, pepseq, pepseq_transl_start, pepseq_transl_end, 
             left_flank, right_flank, dna_seq] = get_exon_seqs (cursor, human_exon.exon_id, human_exon.is_known)
            if (not pepseq):
                if verbose and  human_exon.is_coding and  human_exon.covering_exon <0: # this should be a master exon
                    print "no pep seq for",  human_exon.exon_id, "coding ", human_exon.is_coding,
                    print "canonical: ",  human_exon.is_canonical
                    print "length of dna ", len(dna_seq)
                no_pepseq += 1
                continue

            # collect seq from all maps, and output them in fasta format
            hassw = False
            headers   = []
            sequences = {}
            exons_per_species = {}

            for map in maps:

                switch_to_db (cursor, ensembl_db_name[map.species_2])
                if map.similarity < min_similarity: continue
                exon    = map2exon(cursor, ensembl_db_name, map)
                pepseq  = get_exon_pepseq (cursor,exon)
                if (not pepseq):
                    continue
                if  map.source == 'sw_sharp':
                    exon_known_code = 2
                    hassw = True
                elif  map.source == 'usearch':
                    exon_known_code = 3
                    hassw = True
                else:
                    exon_known_code = map.exon_known_2
                seqname = "{0}:{1}:{2}".format(map.species_2, map.exon_id_2, exon_known_code)
                headers.append(seqname)
                sequences[seqname] = pepseq
                # for split exon concatenation (see below)
                if not map.species_2 in exons_per_species.keys():
                    exons_per_species[map.species_2] = []
                exons_per_species[map.species_2].append ([ map.exon_id_2, exon_known_code]);
                
                    
            if (len(headers) <=1 ):
                if verbose: print "single species in the alignment"
                no_orthologues += 1
                continue
            
            # concatenate exons from the same gene - the alignment program might go wrong otherwise
            concatenated = concatenate_exons (cursor, ensembl_db_name, sequences, exons_per_species)

            fasta_fnm = "{0}/{1}.fa".format( cfg.dir_path['scratch'], human_exon.exon_id)
            output_fasta (fasta_fnm, sequences.keys(), sequences)

            # align
            afa_fnm  = "{0}/{1}.afa".format( cfg.dir_path['scratch'], human_exon.exon_id)
            mafftcmd = acg.generate_mafft_command (fasta_fnm, afa_fnm)
            ret      = commands.getoutput(mafftcmd)

            if (verbose): print 'almt to', afa_fnm

            # read in the alignment 
            inf = erropen(afa_fnm, "r")
            aligned_seqs = {}
            for record in SeqIO.parse(inf, "fasta"):
                aligned_seqs[record.id] = str(record.seq)
            inf.close()
            # split back the concatenated exons
            if concatenated: split_concatenated_exons (aligned_seqs, concatenated)

            human_seq_seen = False
            for seq_name, sequence in aligned_seqs.iteritems():
                # if this is one of the concatenated seqs, split them back to two

                ### store the alignment as bitstring
                # Generate the bitmap
                bs         = Bits(bin='0b' + re.sub("[^0]","1", sequence.replace('-','0')))
                # The returned value of tobytes() will be padded at the end 
                # with between zero and seven 0 bits to make it byte aligned.
                # I will end up with something that looks like extra alignment gaps, that I'll have to return
                msa_bitmap = bs.tobytes() 
                # Retrieve information on the cognate
                cognate_species, cognate_exon_id, cognate_exon_known = seq_name.split(':')
                if cognate_exon_known == '2':
                    source = 'sw_sharp'
                elif cognate_exon_known == '3':
                    source = 'usearch'
                else:
                    source = 'ensembl'
                if (cognate_species == 'homo_sapiens'):
                    human_seq_seen = True
                cognate_genome_db_id = species2genome_db_id(cursor, cognate_species) # moves the cursor
                switch_to_db(cursor, ensembl_db_name['homo_sapiens']) # so move it back to h**o sapiens
                # Write the bitmap to the database
                #if (cognate_species == 'homo_sapiens'):
                if verbose: # and (source=='sw_sharp' or source=='usearch'):
                    print "storing"
                    print human_exon.exon_id, human_exon.is_known
                    print cognate_species, cognate_genome_db_id, cognate_exon_id, cognate_exon_known, source
                    print sequence
                    if not msa_bitmap:
                        print "no msa_bitmap"
                        continue
                store_or_update(cursor, "exon_map",    {"cognate_genome_db_id":cognate_genome_db_id,
                   "cognate_exon_id":cognate_exon_id   ,"cognate_exon_known"  :cognate_exon_known,
                   "source": source, "exon_id" :human_exon.exon_id, "exon_known":human_exon.is_known},
                  {"msa_bitstring":MySQLdb.escape_string(msa_bitmap)})
                 
            ok += 1
            commands.getoutput("rm "+afa_fnm+" "+fasta_fnm)

        if verbose: print " time: %8.3f\n" % (time()-start);

    print "tot: ", tot, "ok: ", ok
    print "no maps ",   no_pepseq
    print "no pepseq ", no_pepseq
    print "no orthologues  ", no_orthologues
    print
Example #2
0
def main():

    # exon_id comes from the command line
    if len(sys.argv) < 5:
        print "Usage: %s <exon_id>  <exon_known>  <species>  <output name> [nt]" % sys.argv[0]
        exit (1)
        
    exon_id    = long(sys.argv[1])
    exon_known = int(sys.argv[2])
    species    = sys.argv[3]
    afa_name   = sys.argv[4]

    nt =  len(sys.argv)>5 and sys.argv[5]=='nt'
    
    ######################################
    db     = connect_to_mysql(user="******", passwd="sqljupitersql", host="jupiter.private.bii", port=3307)
    cursor = db.cursor()
    [all_species, ensembl_db_name] = get_species (cursor)
   
    if not is_coding_exon(cursor, exon_id, exon_known, ensembl_db_name[species]) and not nt:
        # make an empty file
        cmd = "touch " + afa_name
        ret = commands.getoutput(cmd)
        cursor.close()
        db.close()
        return

    ######################################
    if (species == 'homo_sapiens'):
        [human_exon_id, human_exon_known] = [exon_id, exon_known]
        ok = True
    else:
        # find the human exon this guy maps to
        species_db_id = species2genome_db_id(cursor, species)
        if (species_db_id):
            [human_exon_id, human_exon_known] = find_human_cognate(cursor, ensembl_db_name, exon_id,
                                                                   exon_known, species_db_id)
        ok = species_db_id > 0 and human_exon_id>0

    ######################################
    if (ok):
        alignment = make_exon_alignment(cursor, ensembl_db_name, human_exon_id, human_exon_known, nt)   
    if (ok and alignment):
        # sort the remaining species  taxonomically
        sorted_species = species_sort(cursor, all_species, species)
        sorted_names = sort_names (sorted_species, alignment)
        output_fasta (afa_name, sorted_names, alignment)
    else: 
        # make file consisting of the original sequence only
        if nt:
            seq = get_exon_seqs (cursor, exon_id, exon_known, ensembl_db_name[species])[-1];
        else:
            seq = get_exon_pepseq (cursor, exon_id, exon_known, ensembl_db_name[species])
        if seq:
            alignment = {}
            sequence_name  = make_seq_name (cursor, ensembl_db_name, species, exon_id, exon_known, [])
            alignment[sequence_name] = seq;
            output_fasta (afa_name, [seq_name], alignment)
        else:
            # if not even the original sequence can be found, its definitely somebody else's fault;
            # make an empty file
            cmd = "touch " + afa_name
            ret = commands.getoutput(cmd)

    cursor.close()
    db.close()
    
    return
def multiple_exon_alnmt(species_list, db_info):


    [local_db, ensembl_db_name] = db_info

    verbose  = False

    db     = connect_to_mysql()
    cfg    = ConfigurationReader()
    acg    = AlignmentCommandGenerator()
    cursor = db.cursor()


    for species in species_list:

        print
        print "############################"
        print  species

        switch_to_db (cursor,  ensembl_db_name[species])
        gene_ids = get_gene_ids (cursor, biotype='protein_coding')
        #gene_ids = get_theme_ids(cursor, cfg, 'wnt_pathway')
        if not gene_ids:
            print "no gene_ids"
            continue


        gene_ct       = 0
        tot           = 0
        ok            = 0
        no_maps       = 0
        no_pepseq     = 0
        no_paralogues = 0
        for gene_id in gene_ids:

            if verbose: start = time()
            gene_ct += 1
            if not gene_ct%100: print species, gene_ct, "genes out of", len(gene_ids)
            if verbose: 
                print
                print gene_id, gene2stable(cursor, gene_id), get_description (cursor, gene_id)

            # get the paralogues - only the representative for  the family will have this 
            paralogues = get_paras (cursor, gene_id)  
            if not paralogues:
                if verbose:  print "\t not a template or no paralogues"
                continue

            if verbose:  print "paralogues: ", paralogues

            # get _all_ exons
            template_exons = gene2exon_list(cursor, gene_id)
            if (not template_exons):
                if verbose: print 'no exons for ', gene_id
                continue

            # find all template  exons we are tracking in the database
            for template_exon in template_exons:

                if verbose: print template_exon.exon_id
                maps = get_maps(cursor, ensembl_db_name, template_exon.exon_id,
                                template_exon.is_known, species=species, table='para_exon_map')

                if not maps:
                    no_maps += 1
                    continue

                # output to fasta:
                seqname        = "{0}:{1}:{2}".format('template', template_exon.exon_id, template_exon.is_known)
                exon_seqs_info =  get_exon_seqs (cursor, template_exon.exon_id, template_exon.is_known)
                if not exon_seqs_info: continue
                [exon_seq_id, pepseq, pepseq_transl_start, pepseq_transl_end, 
                 left_flank, right_flank, dna_seq] = exon_seqs_info
                if (not pepseq):
                    if ( template_exon.is_coding and  template_exon.covering_exon <0): # this should be a master exon
                        print "no pep seq for",  template_exon.exon_id, "coding ", template_exon.is_coding,
                        print "canonical: ",  template_exon.is_canonical
                        print "length of dna ", len(dna_seq)
                        no_pepseq += 1
                    continue
                
                tot += 1

                sequences = {seqname:pepseq}
                headers   = [seqname]
                for map in maps:
                    exon    = map2exon(cursor, ensembl_db_name, map, paralogue=True)
                    pepseq  = get_exon_pepseq (cursor,exon)
                    if (not pepseq):
                        continue
                    seqname = "{0}:{1}:{2}".format('para', map.exon_id_2, map.exon_known_2)
                    headers.append(seqname)
                    sequences[seqname] = pepseq

                fasta_fnm = "{0}/{1}_{2}_{3}.fa".format( cfg.dir_path['scratch'], species, template_exon.exon_id, template_exon.is_known)
                output_fasta (fasta_fnm, headers, sequences)

                if (len(headers) <=1 ):
                    print "single species in the alignment (?)"
                    no_paralogues += 1
                    continue

                # align
                afa_fnm  = "{0}/{1}_{2}_{3}.afa".format( cfg.dir_path['scratch'], species, template_exon.exon_id, template_exon.is_known)
                mafftcmd = acg.generate_mafft_command (fasta_fnm, afa_fnm)
                ret      = commands.getoutput(mafftcmd)

                # read in the alignment
                inf = erropen(afa_fnm, "r")
                if not inf:
                    print gene_id
                    continue
                template_seq_seen = False
                for record in SeqIO.parse(inf, "fasta"):
                    ### store the alignment as bitstring
                    # Generate the bitmap
                    bs         = Bits(bin='0b' + re.sub("[^0]","1", str(record.seq).replace('-','0')))
                    msa_bitmap = bs.tobytes()
                    # Retrieve information on the cognate
                    label, cognate_exon_id, cognate_exon_known = record.id.split(':')
                    if (label == 'template'):
                        template_seq_seen = True
                    # Write the bitmap to the database
                    #print "updating: ", template_exon.exon_id
                    store_or_update(cursor, "para_exon_map", {"cognate_exon_id"    :cognate_exon_id,
                                                         "cognate_exon_known" :cognate_exon_known,
                                                         "exon_id"            :template_exon.exon_id,
                                                         "exon_known"         :template_exon.is_known},
                                    {"msa_bitstring":MySQLdb.escape_string(msa_bitmap)})
                inf.close()
                ok += 1
                commands.getoutput("rm "+afa_fnm+" "+fasta_fnm)
            if verbose: print " time: %8.3f\n" % (time()-start);
 
        outstr  =  species + " done \n"
        outstr +=  "tot: %d   ok: %d  \n" % (tot,  ok)
        outstr +=  "no maps       %d  \n" % no_pepseq
        outstr +=  "no pepseq     %d  \n" % no_pepseq
        outstr +=  "no paralogues %d  \n" % no_paralogues
        outstr += "\n"
        print outstr