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<TITLE>Manual Page - minimap2(1)</TITLE>
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<BODY bgcolor=#F0F0F0 text=#000000 link=#0000ff vlink=#C000C0 alink=#ff0000><div id="wrap"><A NAME=top></A>
<CENTER>
<H1><HR><I>Manual Reference Pages &nbsp;-&nbsp;</I><NOBR>minimap2 (1)</NOBR><HR></H1>
</CENTER>
<A name=0></A>
<H3>NAME</H3>
<BLOCKQUOTE>
<P>
minimap2 - mapping and alignment between collections of DNA sequences
</BLOCKQUOTE>
<A name=contents></A><H3>CONTENTS</H3></A>
<BLOCKQUOTE>
<A HREF=#1>Synopsis</A><BR>
<A HREF=#2>Description</A><BR>
<A HREF=#3>Options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#4>Indexing options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#5>Mapping options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#6>Alignment options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#7>Input/output options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#8>Preset options</A><BR>
&nbsp; &nbsp; &nbsp;<A HREF=#9>Miscellaneous options</A><BR>
<A HREF=#10>Output Format</A><BR>
<A HREF=#11>Limitations</A><BR>
<A HREF=#12>See Also</A><BR>
</BLOCKQUOTE>
<A name=13></A>
<H3>SYNOPSIS</H3>
<BLOCKQUOTE>
* Indexing the target sequences (optional):
<BLOCKQUOTE>
minimap2
[<B>-x</B> <I>preset</I>] <B>-d</B> <I>target.mmi</I> <I>target.fa</I> <!-- Need break --><BR>
minimap2
[<B>-H</B>] [<B>-k</B> <I>kmer</I>] [<B>-w</B> <I>miniWinSize</I>] [<B>-I</B> <I>batchSize</I>] <B>-d</B> <I>target.mmi</I> <I>target.fa</I> </BLOCKQUOTE>
<P>
* Long-read alignment with CIGAR:
<BLOCKQUOTE>
minimap2
<B>-a</B> [<B>-x</B> <I>preset</I>] <I>target.mmi</I> <I>query.fa</I> &gt;
<I>output.sam</I> <!-- Need break --><BR>
minimap2
<B>-c</B> [<B>-H</B>] [<B>-k</B> <I>kmer</I>] [<B>-w</B> <I>miniWinSize</I>] [<B>...</B>] <I>target.fa</I> <I>query.fa</I> &gt;
<I>output.paf</I> </BLOCKQUOTE>
<P>
* Long-read overlap without CIGAR:
<BLOCKQUOTE>
minimap2
<B>-x</B> ava-ont
[<B>-t</B> <I>nThreads</I>] <I>target.fa</I> <I>query.fa</I> &gt;
<I>output.paf</I> </BLOCKQUOTE>
</BLOCKQUOTE>
<A name=2></A>
<H3>DESCRIPTION</H3>
<BLOCKQUOTE>
<P>
Minimap2 is a fast sequence mapping and alignment program that can find
overlaps between long noisy reads, or map long reads or their assemblies to a
reference genome optionally with detailed alignment (i.e. CIGAR). At present,
it works efficiently with query sequences from a few kilobases to ~100
megabases in length at a error rate ~15%. Minimap2 outputs in the PAF or the
SAM format.
</BLOCKQUOTE>
<A name=3></A>
<H3>OPTIONS</H3>
<BLOCKQUOTE>
</BLOCKQUOTE>
<A name=4></A>
<H4>&nbsp; &nbsp; Indexing options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=10% nowrap>
<B>-k</B><I> INT</I> </TD><TD valign=bottom>
Minimizer k-mer length [15]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-w</B><I> INT</I> </TD><TD valign=bottom>
Minimizer window size [2/3 of k-mer length]. A minimizer is the smallest k-mer
in a window of w consecutive k-mers.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-H</B> </TD><TD valign=bottom>
Use homopolymer-compressed (HPC) minimizers. An HPC sequence is constructed by
contracting homopolymer runs to a single base. An HPC minimizer is a minimizer
on the HPC sequence.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-I</B><I> NUM</I> </TD><TD valign=bottom>
Load at most
<I>NUM</I> target bases into RAM for indexing [4G]. If there are more than
<I>NUM</I> bases in
<I>target.fa</I>, minimap2 needs to read
<I>query.fa</I> multiple times to map it against each batch of target sequences.
<I>NUM</I> may be ending with k/K/m/M/g/G. NB: mapping quality is incorrect given a
multi-part index.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-d</B><I> FILE</I> </TD><TD valign=bottom>
Save the minimizer index of
<I>target.fa</I> to
<I>FILE</I> [no dump]. Minimap2 indexing is fast. It can index the human genome in a couple
of minutes. If even shorter startup time is desired, use this option to save
the index. Indexing options are fixed in the index file. When an index file is
provided as the target sequences, options
<B>-H</B>, <B>-k</B>, <B>-w</B>, <B>-I</B> will be effectively overridden by the options stored in the index file.
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=5></A>
<H4>&nbsp; &nbsp; Mapping options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=10% nowrap>
<B>-f</B><I> FLOAT</I> </TD><TD valign=bottom>
Ignore top
<I>FLOAT</I> fraction of most frequent minimizers [0.0002]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-g</B><I> INT</I> </TD><TD valign=bottom>
Stop chain enlongation if there are no minimizers in
<I>INT</I>-bp [10000].
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-r</B><I> INT</I> </TD><TD valign=bottom>
Bandwidth used in chaining and DP-based alignment [500]. This option
approximately controls the maximum gap size.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-n</B><I> INT</I> </TD><TD valign=bottom>
Discard chains consisting of
&lt;<I>INT</I> number of minimizers [3]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-m</B><I> INT</I> </TD><TD valign=bottom>
Discard chains with chaining score
&lt;<I>INT</I> [40]. Chaining score equals the approximate number of matching bases minus a
concave gap penalty. It is computed with dynamic programming.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-X</B> </TD><TD valign=bottom>
Perform all-vs-all mapping. In this mode, if the query sequence name is
lexicographically larger than the target sequence name, the hits between them
will be suppressed; if the query sequence name is the same as the target name,
diagonal minimizer hits will also be suppressed.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-p</B><I> FLOAT</I> </TD><TD valign=bottom>
Minimal secondary-to-primary score ratio to output secondary mappings [0.8].
Between two chains overlaping over half of the shorter chain (controlled by
<B>--mask-level</B>), the chain with a lower score is secondary to the chain with a higher score.
If the ratio of the scores is below
<I>FLOAT</I>, the secondary chain will not be outputted or extended with DP alignment later.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-N</B><I> INT</I> </TD><TD valign=bottom>
Output at most
<I>INT</I> secondary alignments [5]. This option has no effect when
<B>-X</B> is applied.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-G</B><I> NUM</I> </TD><TD valign=bottom>
Maximum gap on the reference (effective with
<B>-xsplice</B>/<B>--splice</B>). This option also changes the chaining and alignment band width to
<I>NUM</I>. Increasing this option slows down spliced alignment. [200k]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-F</B><I> NUM</I> </TD><TD valign=bottom>
Maximum fragment length (aka insert size; effective with
<B>-xsr</B>/<B>--frag)</B> [800]
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--max-chain-skip</B><I> INT</I> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
A heuristics that stops chaining early [50]. Minimap2 uses dynamic programming
for chaining. The time complexity is quadratic in the number of seeds. This
option makes minimap2 exits the inner loop if it repeatedly sees seeds already
on chains. Set
<I>INT</I> to a large number to switch off this heurstics.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--no-long-join</B> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Disable the long gap patching heuristic. When this option is applied, the
maximum alignment gap is mostly controlled by
<B>-r</B>. </TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>--splice</B> </TD><TD valign=bottom>
Enable the splice alignment mode.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>--sr</B> </TD><TD valign=bottom>
Enable short-read alignment heuristics. In the short-read mode, minimap2
applies a second round of chaining with a higher minimizer occurrence threshold
if no good chain is found. In addition, minimap2 attempts to patch gaps between
seeds with ungapped alignment.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--frag</B>[=<B>no</B>|<B>yes</B>] </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Whether to enable the fragment mode [no]
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=6></A>
<H4>&nbsp; &nbsp; Alignment options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=10% nowrap>
<B>-A</B><I> INT</I> </TD><TD valign=bottom>
Matching score [2]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-B</B><I> INT</I> </TD><TD valign=bottom>
Mismatching penalty [4]
</TD></TR>
<TR valign=top><TD colspan=2>
<B>-O</B><I> INT1[,INT2]</I> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Gap open penalty [4,24]. If
<I>INT2</I> is not specified, it is set to
<I>INT1</I>. </TD></TR>
<TR valign=top><TD colspan=2>
<B>-E</B><I> INT1[,INT2]</I> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Gap extension penalty [2,1]. A gap of length
<I>k</I> costs
min{<I>O1</I>+<I>k</I>*<I>E1</I>,<I>O2</I>+<I>k</I>*<I>E2</I>}. In the splice mode, the second gap penalties are not used.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-C</B><I> INT</I> </TD><TD valign=bottom>
Cost for a non-canonical GT-AG splicing (effective with
<B>--splice</B>) [0]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-z</B><I> INT</I> </TD><TD valign=bottom>
Break an alignment if the running score drops too quickly along the diagonal of
the DP matrix (diagonal X-drop, or Z-drop) [400]. Increasing the value improves
the contiguity of the alignment at the cost of poor alignment in the middle
(e.g. caused by a long inversion).
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-s</B><I> INT</I> </TD><TD valign=bottom>
Minimal peak DP alignment score to output [40]. The peak score is computed from
the final CIGAR. It is the score of the max scoring segment in the alignment
and may be different from the total alignment score.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-u</B><I> CHAR</I> </TD><TD valign=bottom>
How to find canonical splicing sites GT-AG -
<B>f</B>: transcript strand;
<B>b</B>: both strands;
<B>n</B>: no attempt to match GT-AG [n]
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--end-bonus</B><I> INT</I> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Score bonus when alignment extends to the end of the query sequence [0].
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--splice-flank</B>[=<B>yes</B>|<B>no</B>] </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Assume the next base to a
<B>GT</B> donor site tends to be A/G (91% in human and 92% in mouse) and the preceding
base to a
<B>AG</B> acceptor tends to be C/T [yes with
<B>--splice</B>]. This trend is evolutionarily conservative, all the way to S. cerevisiae
(PMID:18688272). Specifying this option generally leads to higher junction
accuracy by several percents, so it is applied by default with
<B>--splice</B>. However, the SIRV control does not honor this trend
(only ~60%). This option reduces accuracy. If you are benchmarking minimap2
on SIRV data, please add
<B>--splice-flank=no</B> to the command line.
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=7></A>
<H4>&nbsp; &nbsp; Input/output options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=10% nowrap>
<B>-a</B> </TD><TD valign=bottom>
Generate CIGAR and output alignments in the SAM format. Minimap2 outputs in PAF
by default.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-Q</B> </TD><TD valign=bottom>
Ignore base quality in the input file.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-L</B> </TD><TD valign=bottom>
Write CIGAR with &gt;65535 operators at the CG tag. Older tools are unable to
convert alignments with &gt;65535 CIGAR ops to BAM. This option makes minimap2 SAM
compatible with older tools. Newer tools recognizes this tag and reconstruct
the real CIGAR in memory.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-R</B><I> STR</I> </TD><TD valign=bottom>
SAM read group line in a format like
<B>@RG\\tID:foo\\tSM:bar</B> [].
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-c</B> </TD><TD valign=bottom>
Generate CIGAR. In PAF, the CIGAR is written to the &#145;cg&#146; custom tag.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--cs[=</B><I>STR</I><B>]</B> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Output the
<B>cs</B> tag.
<I>STR</I> can be either
<I>short</I> or
<I>long</I>. If no
<I>STR</I> is given,
<I>short</I> is assumed. [none]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-Y</B> </TD><TD valign=bottom>
In SAM output, use soft clipping for supplementary alignments.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>--seed</B><I> INT</I> </TD><TD valign=bottom>
Integer seed for randomizing equally best hits. Minimap2 hashes
<I>INT</I> and read name when choosing between equally best hits. [11]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-t</B><I> INT</I> </TD><TD valign=bottom>
Number of threads [3]. Minimap2 uses at most three threads when indexing target
sequences, and uses up to
<I>INT</I>+1 threads when mapping (the extra thread is for I/O, which is frequently idle and
takes little CPU time).
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-2</B> </TD><TD valign=bottom>
Use two I/O threads during mapping. By default, minimap2 uses one I/O thread.
When I/O is slow (e.g. piping to gzip, or reading from a slow pipe), the I/O
thread may become the bottleneck. Apply this option to use one thread for input
and another thread for output, at the cost of increased peak RAM.
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>-K</B><I> NUM</I> </TD><TD valign=bottom>
Number of bases loaded into memory to process in a mini-batch [500M].
Similar to option
<B>-I</B>, K/M/G/k/m/g suffix is accepted. A large
<I>NUM</I> helps load balancing in the multi-threading mode, at the cost of increased
memory.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--secondary</B>[=<B>yes</B>|<B>no</B>] </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Whether to output secondary alignments [yes]
</TD></TR>
<TR valign=top><TD width=10% nowrap>
<B>--version</B> </TD><TD valign=bottom>
Print version number to stdout
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=8></A>
<H4>&nbsp; &nbsp; Preset options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=10% nowrap>
<B>-x</B><I> STR</I> </TD><TD valign=bottom>
Preset []. This option applies multiple options at the same time. It should be
applied before other options because options applied later will overwrite the
values set by
<B>-x</B>. Available
<I>STR</I> are:
<TABLE width=100% cellpadding=3><!-- tsb: Preset []. This option applies multiple options at the same time. It should be
-->
<TR></TR><TR></TR>
<TR valign=top><TD width=8% nowrap>
<B>map-pb</B> </TD><TD valign=bottom>
PacBio/Oxford Nanopore read to reference mapping
(<B>-Hk19</B>) </TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>map-ont</B> </TD><TD valign=bottom>
Slightly more sensitive for Oxford Nanopore to reference mapping
(<B>-k15</B>). For PacBio reads, HPC minimizers consistently leads to faster performance and
more sensitive results in comparison to normal minimizers. For Oxford Nanopore
data, normal minimizers are better, though not much. The effectiveness of HPC
is determined by the sequencing error mode.
</TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>asm5</B> </TD><TD valign=bottom>
Long assembly to reference mapping
(<B>-k19</B> <B>-w19 -A1 -B19 -O39,81 -E3,1 -s200</B> <B>-z200</B>). Typically, the alignment will not extend to regions with 5% or higher sequence
divergence. Only use this preset if the average divergence is far below 5%.
</TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>asm10</B> </TD><TD valign=bottom>
Long assembly to reference mapping
(<B>-k19</B> <B>-w19 -A1 -B9 -O16,41 -E2,1 -s200</B> <B>-z200</B>). Up to 10% sequence divergence.
</TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>ava-pb</B> </TD><TD valign=bottom>
PacBio all-vs-all overlap mapping
(<B>-Hk19</B> <B>-w5 -Xp0 -m100 -g10000 --max-chain-skip</B> <B>25</B>). </TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>ava-ont</B> </TD><TD valign=bottom>
Oxford Nanopore all-vs-all overlap mapping
(<B>-k15</B> <B>-w5 -Xp0 -m100 -g10000 --max-chain-skip</B> <B>25</B>). Similarly, the major difference from
<B>ava-pb</B> is that this preset is not using HPC minimizers.
</TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>splice</B> </TD><TD valign=bottom>
Long-read spliced alignment
(<B>-k15</B> <B>-w5 --splice -g2000 -G200k -A1 -B2 -O2,32 -E1,0 -C9 -z200 -ub</B> <B>--splice-flank=yes</B>). In the splice mode, 1) long deletions are taken as introns and represented as
the
&#145;<B>N</B>&#146; CIGAR operator; 2) long insertions are disabled; 3) deletion and insertion gap
costs are different during chaining; 4) the computation of the
&#145;<B>ms</B>&#146; tag ignores introns to demote hits to pseudogenes.
</TD></TR>
<TR valign=top><TD width=8% nowrap>
<B>sr</B> </TD><TD valign=bottom>
Short single-end reads without splicing
(<B>-k21</B> <B>-w11 --sr --frag -A2 -B8 -O12,32 -E2,1 -r50 -p.5 -N20 -f1000,5000 -n2 -m20</B> <B>-s40 -g200 -2K50m</B> <B>--secondary=no</B>). </TD></TR>
<TR></TR></TABLE></TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=9></A>
<H4>&nbsp; &nbsp; Miscellaneous options</H4>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD colspan=2>
<B>--no-kalloc</B> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Use the libc default allocator instead of the kalloc thread-local allocator.
This debugging option is mostly used with Valgrind to detect invalid memory
accesses. Minimap2 runs slower with this option, especially in the
multi-threading mode.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--print-qname</B> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Print query names to stderr, mostly to see which query is crashing minimap2.
</TD></TR>
<TR valign=top><TD colspan=2>
<B>--print-seeds</B> </TD></TR><TR valign=top><TD width=10%>&nbsp;</TD><TD>
Print seed positions to stderr, for debugging only.
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=10></A>
<H3>OUTPUT FORMAT</H3>
<BLOCKQUOTE>
<P>
Minimap2 outputs mapping positions in the Pairwise mApping Format (PAF) by
default. PAF is a TAB-delimited text format with each line consisting of at
least 12 fields as are described in the following table:
<P><BLOCKQUOTE><div id='tbl'><TABLE border=1 cellspacing=0 cellpadding=3>
<TR valign=top>
<TD align=center><B>Col</B></TD><TD align=center><B>Type</B></TD><TD align=center><B>Description</B></TD></TR>
<TR></TR><TR></TR>
<TR valign=top>
<TD align=right>1</TD><TD align=center>string</TD><TD>Query sequence name</TD></TR>
<TR valign=top>
<TD align=right>2</TD><TD align=center>int</TD><TD>Query sequence length</TD></TR>
<TR valign=top>
<TD align=right>3</TD><TD align=center>int</TD><TD>Query start coordinate (0-based)</TD></TR>
<TR valign=top>
<TD align=right>4</TD><TD align=center>int</TD><TD>Query end coordinate (0-based)</TD></TR>
<TR valign=top>
<TD align=right>5</TD><TD align=center>char</TD><TD>&#145;+&#146; if query/target on the same strand; &#145;-&#146; if opposite</TD></TR>
<TR valign=top>
<TD align=right>6</TD><TD align=center>string</TD><TD>Target sequence name</TD></TR>
<TR valign=top>
<TD align=right>7</TD><TD align=center>int</TD><TD>Target sequence length</TD></TR>
<TR valign=top>
<TD align=right>8</TD><TD align=center>int</TD><TD>Target start coordinate on the original strand</TD></TR>
<TR valign=top>
<TD align=right>9</TD><TD align=center>int</TD><TD>Target end coordinate on the original strand</TD></TR>
<TR valign=top>
<TD align=right>10</TD><TD align=center>int</TD><TD>Number of matching bases in the mapping</TD></TR>
<TR valign=top>
<TD align=right>11</TD><TD align=center>int</TD><TD>Number bases, including gaps, in the mapping</TD></TR>
<TR valign=top>
<TD align=right>12</TD><TD align=center>int</TD><TD>Mapping quality (0-255 with 255 for missing)</TD></TR>
</TABLE></div></BLOCKQUOTE>
<P>
<P>
When alignment is available, column 11 gives the total number of sequence
matches, mismatches and gaps in the alignment; column 10 divided by column 11
gives the BLAST-like alignment identity. When alignment is unavailable,
these two columns are approximate. PAF may optionally have additional fields in
the SAM-like typed key-value format. Minimap2 may output the following tags:
<P><BLOCKQUOTE><div id='tbl'><TABLE border=1 cellspacing=0 cellpadding=3>
<TR valign=top>
<TD align=center><B>Tag</B></TD><TD align=center><B>Type</B></TD><TD align=center><B>Description</B></TD></TR>
<TR></TR><TR></TR>
<TR valign=top>
<TD align=right>tp</TD><TD align=center>A</TD><TD>Type of aln: P/primary, S/secondary and I/inversion</TD></TR>
<TR valign=top>
<TD align=right>cm</TD><TD align=center>i</TD><TD>Number of minimizers on the chain</TD></TR>
<TR valign=top>
<TD align=right>s1</TD><TD align=center>i</TD><TD>Chaining score</TD></TR>
<TR valign=top>
<TD align=right>s2</TD><TD align=center>i</TD><TD>Chaining score of the best secondary chain</TD></TR>
<TR valign=top>
<TD align=right>NM</TD><TD align=center>i</TD><TD>Total number of mismatches and gaps in the alignment</TD></TR>
<TR valign=top>
<TD align=right>AS</TD><TD align=center>i</TD><TD>DP alignment score</TD></TR>
<TR valign=top>
<TD align=right>ms</TD><TD align=center>i</TD><TD>DP score of the max scoring segment in the alignment</TD></TR>
<TR valign=top>
<TD align=right>nn</TD><TD align=center>i</TD><TD>Number of ambiguous bases in the alignment</TD></TR>
<TR valign=top>
<TD align=right>ts</TD><TD align=center>A</TD><TD>Transcript strand (splice mode only)</TD></TR>
<TR valign=top>
<TD align=right>cg</TD><TD align=center>Z</TD><TD>CIGAR string (only in PAF)</TD></TR>
<TR valign=top>
<TD align=right>cs</TD><TD align=center>Z</TD><TD>Difference string</TD></TR>
</TABLE></div></BLOCKQUOTE>
<P>
<P>
The
<B>cs</B> tag encodes difference sequences in the short form or the entire query
<I>AND</I> reference sequences in the long form. It consists of a series of operations:
<P><BLOCKQUOTE><div id='tbl'><TABLE border=1 cellspacing=0 cellpadding=3>
<TR valign=top>
<TD align=center><B>Op</B></TD><TD align=center><B>Regex</B></TD><TD align=center><B>Description</B></TD></TR>
<TR></TR><TR></TR>
<TR valign=top>
<TD align=right> =</TD><TD>[ACGTN]+</TD><TD>Identical sequence (long form)</TD></TR>
<TR valign=top>
<TD align=right> :</TD><TD>[0-9]+</TD><TD>Identical sequence length</TD></TR>
<TR valign=top>
<TD align=right> *</TD><TD>[acgtn][acgtn]</TD><TD>Substitution: ref to query</TD></TR>
<TR valign=top>
<TD align=right> +</TD><TD>[acgtn]+</TD><TD>Insertion to the reference</TD></TR>
<TR valign=top>
<TD align=right> -</TD><TD>[acgtn]+</TD><TD>Deletion from the reference</TD></TR>
<TR valign=top>
<TD align=right> ~</TD><TD>[acgtn]{2}[0-9]+[acgtn]{2}</TD><TD>Intron length and splice signal</TD></TR>
</TABLE></div></BLOCKQUOTE>
<P>
</BLOCKQUOTE>
<A name=11></A>
<H3>LIMITATIONS</H3>
<BLOCKQUOTE>
<TABLE cellpadding=3>
<TR valign=top><TD width=2% nowrap>
*
</TD><TD valign=bottom>
Minimap2 may produce suboptimal alignments through long low-complexity regions
where seed positions may be suboptimal. This should not be a big concern
because even the optimal alignment may be wrong in such regions.
</TD></TR>
<TR valign=top><TD width=2% nowrap>
*
</TD><TD valign=bottom>
Minimap2 requires SSE2 instructions to compile. It is possible to add
non-SSE2 support, but it would make minimap2 slower by several times.
</TD></TR>
<TR></TR></TABLE></BLOCKQUOTE>
<A name=12></A>
<H3>SEE ALSO</H3>
<BLOCKQUOTE>
<P>
miniasm(1), minimap(1), bwa(1).
</BLOCKQUOTE>
<P><HR>
<TABLE width=100%><TR> <TD width=33%><I>minimap2-2.5 (r572)</I></TD> <TD width=33% align=center>minimap2 (1)</TD> <TD align=right width=33%><I>11 November 2017</I></TD> </TR></TABLE></div></BODY></HTML>