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