Multiple Alignment Format

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m (Creating or loading a MAF index)
m (Retrieving a pre-spliced alignment over a given set of exons)
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# fetch all records on chr10
# fetch all records on chr10
db_conn.execute ("SELECT * FROM refGene WHERE chrom = 'chr10'")
db_conn.execute("SELECT * FROM refGene WHERE chrom = 'chr10'")
for record in db_conn.fetchall():
for record in db_conn.fetchall():

Revision as of 19:52, 23 May 2011

The Multiple Alignment Format, described by UCSC, stores a series of multiple alignments in a single file. Suitable for whole-genome to whole-genome alignments, metadata such as source chromosome, start position, size, and strand can be stored. Biopython implements a MAF reader and writer accessible via Bio.AlignIO, and an indexer accessible via Bio.AlignIO.MafIO.



Biopython provides an interface for fast access to the multiple alignment of several sequences across an arbitrary interval: for example, chr10:25,079,604-25,243,324 in mm9. As MAF files are available for entire chromosomes, they can be indexed by chromosome position and accessed at random. This functionality is available in the class MafIO.MafIndex.

All examples below make use of the Multiz 30-way alignment to mouse chromosome 10 available from UCSC.

Creating or loading a MAF index

Indexes are created by determining the chromosome start and end position for a specific sequence name (generally a species), which must appear in every alignment block in the file. An index can be generated for only one species at a time. In whole-genome alignments generated by Multiz, the chromosome of one species is generally used as the reference to which other species are aligned. This reference species will appear in every block, and should be used as the target_seqname parameter. For UCSC multiz files, the form of species.chromosome is used.

To index a MAF file, or load an existing index, create a new MafIO.MafIndex object. If the index database file sqlite_file does not exist, it will be created, otherwise it will be loaded.

# index mouse chr10 from UCSC and store it in a file for later use
from Bio.AlignIO import MafIO.MafIndex
# idx = MafIO.MafIndex(sqlite_file, maf_file, target_seqname)
idx = MafIO.MafIndex("chr10.mafindex", "chr10.maf", "mm9.chr10")

Retrieving alignments overlapping a given interval

The generator function accepts a list of start and end positions, and yields MultipleSeqAlignment objects that overlap the given intervals. This is particularly useful for obtaining alignments over the multiple exons of a single transcript, eliminating the need to retrieve an entire locus.

# count the number of bases in danRer5 (Zebrafish) that align to the
# Pcmt1 locus in mouse
from Bio.AlignIO import MafIO.MafIndex as MafIndex
idx = MafIndex("chr10.mafindex", "chr10.maf", "mm9.chr10")
results =[7350034], [7383048])
total_bases = 0
for multiple_alignment in results:
    for seqrec in multiple_alignment:
            # don't count gaps as bases
            total_bases += len(str(seqrec.seq).replace("-", ""))
print "a total of %s bases align" % total_bases

Retrieving a pre-spliced alignment over a given set of exons

The MafIO.MafIndex.get_spliced() function accepts a list of start and end positions representing exons, and returns a single MultipleSeqAlignment object of the in silico spliced transcript from the reference and all aligned sequences. If part of the sequence range is not found in a particular species in the alignment, dashes ("-") are used to fill the gaps, or "N"s if the sequence is not present in the reference (target_seqname) sequence. If strand is opposite that in the reference sequence, all sequences in the returned alignment will be reverse complemented.

# convert the alignment for mouse Foxo3 (NM_019740) from MAF to FASTA
from Bio import AlignIO
idx = AlignIO.MafIO.MafIndex("chr10.mafindex", "chr10.maf", "mm9.chr10")
multiple_alignment = idx.get_spliced([41905591, 41916271, 41994621, 41996331],
                                     [41906101, 41917707, 41995347, 41996548],
                                     strand = "+")
AlignIO.write(multiple_alignment, "mm9_foxo3.fa", "fasta")
# find every gene on chr10 in the current UCSC refGene database,
# retrieve its spliced multiple alignment, and write it to
# a FASTA file in the current directory
# depends: MySQLdb
import MySQLdb
from Bio import AlignIO
# connect to UCSC's live MySQL database
mysql_conn = MySQLdb.connect(host = "",
                             user = "genome",
                             passwd = "", 
                             db = "mm9")
db_conn = mysql_conn.cursor(MySQLdb.cursors.DictCursor)
# load MAF index
idx = AlignIO.MafIO.MafIndex("chr10.mafindex", "chr10.maf", "mm9.chr10")
# fetch all records on chr10
db_conn.execute("SELECT * FROM refGene WHERE chrom = 'chr10'")
for record in db_conn.fetchall():
    multiple_alignment = idx.get_spliced(map(int, record["exonStarts"].split(",")[:-1]),
                                         map(int, record["exonEnds"].split(",")[:-1]),
                                         strand = record["strand"])
    print "writing %s.fa" % record["name"]
                  "%s.fa" % record["name"],
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