Sequence Alignments
The BioAlignments
module contains tools for computing and working with sequence alignments.
Representing alignments
The Alignment
type can represent a wide variety of global or local sequence alignments while facilitating efficient coordinate transformation. Alignment are always relative to a possibly unspecified reference sequence and represent a series of edit operations performed on that reference to transform it to the query sequence.
To represent an alignment we use a series of "anchors" stored in the AlignmentAnchor
type. Anchors are form of run-length encoding alignment operations, but rather than store an operation along with a length, we store the end-point of that operation in both reference and query coordinates.
immutable AlignmentAnchor seqpos::Int refpos::Int op::Operation end
Every alignment starts with a special OP_START
operation which is used to give the position in the reference and query prior to the start of the alignment, or 0, if the alignment starts at position 1.
For example, consider the following alignment:
0 4 9 12 15 19 | | | | | | query: TGGC----ATCATTTAACG---CAAG reference: AGGGTGGCATTTATCAG---ACGTTTCGAGAC | | | | | | | 4 8 12 17 20 23 27
Using anchors we would represent this as the following series of anchors:
[ AlignmentAnchor( 0, 4, OP_START), AlignmentAnchor( 4, 8, OP_MATCH), AlignmentAnchor( 4, 12, OP_DELETE), AlignmentAnchor( 9, 17, OP_MATCH), AlignmentAnchor(12, 17, OP_INSERT), AlignmentAnchor(15, 20, OP_MATCH), AlignmentAnchor(15, 23, OP_DELETE), AlignmentAnchor(19, 27, OP_MATCH) ]
An Alignment
object can be created from a series of anchors:
julia> Alignment([ AlignmentAnchor(0, 4, OP_START), AlignmentAnchor(4, 8, OP_MATCH), AlignmentAnchor(4, 12, OP_DELETE) ]) BioAlignments.Alignment: aligned range: seq: 0-4 ref: 4-12 CIGAR string: 4M4D
Operations
Alignment operations follow closely from those used in the SAM/BAM format and are stored in the Operation
bitstype.
Operation | Operation Type | Description |
---|---|---|
OP_MATCH |
match | non-specific match |
OP_INSERT |
insert | insertion into reference sequence |
OP_DELETE |
delete | deletion from reference sequence |
OP_SKIP |
delete | (typically long) deletion from the reference, e.g. due to RNA splicing |
OP_SOFT_CLIP |
insert | sequence removed from the beginning or end of the query sequence but stored |
OP_HARD_CLIP |
insert | sequence removed from the beginning or end of the query sequence and not stored |
OP_PAD |
special | not currently supported, but present for SAM/BAM compatibility |
OP_SEQ_MATCH |
match | match operation with matching sequence positions |
OP_SEQ_MISMATCH |
match | match operation with mismatching sequence positions |
OP_BACK |
special | not currently supported, but present for SAM/BAM compatibility |
OP_START |
special | indicate the start of an alignment within the reference and query sequence |
Aligned sequence
A sequence aligned to another sequence is represented by the AlignedSequence
type, which is a pair of the aligned sequence and an Alignment
object.
The following example creates an aligned sequence object from a sequence and an alignment:
julia> AlignedSequence( # pass an Alignment object dna"ACGTAT", Alignment([ AlignmentAnchor(0, 0, OP_START), AlignmentAnchor(3, 3, OP_MATCH), AlignmentAnchor(6, 3, OP_INSERT) ]) ) ···--- ACGTAT julia> AlignedSequence( # or pass a vector of anchors dna"ACGTAT", [ AlignmentAnchor(0, 0, OP_START), AlignmentAnchor(3, 3, OP_MATCH), AlignmentAnchor(6, 3, OP_INSERT) ] ) ···--- ACGTAT
If you already have an aligned sequence with gap symbols, it can be converted to an AlignedSequence
object by passing a reference sequence with it:
julia> seq = dna"ACGT--AAT--" 11nt DNA Sequence: ACGT--AAT-- julia> ref = dna"ACGTTTAT-GG" 11nt DNA Sequence: ACGTTTAT-GG julia> AlignedSequence(seq, ref) ········-·· ACGT--AAT--
Operating on alignments
#
Base.first
— Function.
first(coll)
Get the first element of an iterable collection. Returns the start point of a Range
even if it is empty.
#
Base.last
— Function.
last(coll)
Get the last element of an ordered collection, if it can be computed in O(1) time. This is accomplished by calling endof
to get the last index. Returns the end point of a Range
even if it is empty.
#
BioAlignments.seq2ref
— Function.
seq2ref(aln, i)
Map a position from sequence to reference.
#
BioAlignments.ref2seq
— Function.
ref2seq(aln, i)
Map a position from reference to sequence.
#
BioAlignments.cigar
— Function.
cigar(aln::Alignment)
Make a CIGAR string encoding of aln
.
This is not entirely lossless as it discards the alignments start positions.