142 lines
4.0 KiB
ReStructuredText
142 lines
4.0 KiB
ReStructuredText
==============================
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Mappy: Minimap2 Python Binding
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==============================
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Mappy provides a convenient interface to `minimap2
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<https://github.com/lh3/minimap2>`_, a fast and accurate C program to align
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genomic and transcribe nucleotide sequences.
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Installation
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------------
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Mappy depends on `zlib <http://zlib.net>`_. It can be installed with `pip
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<https://en.wikipedia.org/wiki/Pip_(package_manager)>`_:
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.. code:: shell
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pip install --user mappy
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or from the minimap2 github repo:
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.. code:: shell
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git clone https://github.com/lh3/minimap2
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cd minimap2
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python setup.py install
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Usage
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-----
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The following Python program shows the key functionality of mappy:
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.. code:: python
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import mappy as mp
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a = mp.Aligner("test/MT-human.fa") # load or build index
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if not a: raise Exception("ERROR: failed to load/build index")
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for name, seq, qual in mp.fastx_read("test/MT-orang.fa"): # read a fasta/q sequence
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for hit in a.map(seq): # traverse alignments
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print("{}\t{}\t{}\t{}".format(hit.ctg, hit.r_st, hit.r_en, hit.cigar_str))
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APIs
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----
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Mappy implements two classes and one global function.
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Class mappy.Aligner
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~~~~~~~~~~~~~~~~~~~
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.. code:: python
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mappy.Aligner(fn_idx_in, preset=None, ...)
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This constructor accepts the following arguments:
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* **fn_idx_in**: index or sequence file name. Minimap2 automatically tests the
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file type. If a sequence file is provided, minimap2 builds an index. The
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sequence file can be optionally gzip'd.
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* **preset**: minimap2 preset. Currently, minimap2 supports the following
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presets: **sr** for single-end short reads; **map-pb** for PacBio
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read-to-reference mapping; **map-ont** for Oxford Nanopore read mapping;
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**splice** for long-read spliced alignment; **asm5** for assembly-to-assembly
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alignment; **asm10** for full genome alignment of closely related species. Note
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that the Python module does not support all-vs-all read overlapping.
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* **k**: k-mer length, no larger than 28
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* **w**: minimizer window size, no larger than 255
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* **min_cnt**: mininum number of minimizers on a chain
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* **min_chain_score**: minimum chaing score
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* **bw**: chaining and alignment band width
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* **best_n**: max number of alignments to return
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* **n_threads**: number of indexing threads; 3 by default
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* **fn_idx_out**: name of file to which the index is written
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.. code:: python
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mappy.Aligner.map(seq)
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This method aligns :code:`seq` against the index. It is a generator, *yielding*
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a series of :code:`mappy.Alignment` objects.
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Class mappy.Alignment
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~~~~~~~~~~~~~~~~~~~~~
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This class describes an alignment. An object of this class has the following
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properties:
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* **ctg**: name of the reference sequence the query is mapped to
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* **ctg_len**: total length of the reference sequence
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* **r_st** and **r_en**: start and end positions on the reference
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* **q_st** and **q_en**: start and end positions on the query
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* **strand**: +1 if on the forward strand; -1 if on the reverse strand
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* **mapq**: mapping quality
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* **NM**: number of mismatches and gaps in the alignment
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* **blen**: length of the alignment, including both alignment matches and gaps
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* **trans_strand**: transcript strand. +1 if on the forward strand; -1 if on the
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reverse strand; 0 if unknown
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* **is_primary**: if the alignment is primary (typically the best and the first
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to generate)
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* **cigar_str**: CIGAR string
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* **cigar**: CIGAR returned as an array of shape :code:`(n_cigar,2)`. The two
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numbers give the length and the operator of each CIGAR operation.
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An :code:`Alignment` object can be converted to a string with :code:`str()` in
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the following format:
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::
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q_st q_en strand ctg ctg_len r_st r_en blen-NM blen mapq cg:Z:cigar_str
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It is effectively the PAF format without the QueryName and QueryLength columns
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(the first two columns in PAF).
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Function mappy.fastx_read
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~~~~~~~~~~~~~~~~~~~~~~~~~
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.. code:: python
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mappy.fastx_read(fn)
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This generator function opens a FASTA/FASTQ file and *yields* a
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:code:`(name,seq,qual)` tuple for each sequence entry. The input file may be
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optionally gzip'd.
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