skovaka / UNCALLED

Raw nanopore signal mapper that enables real-time targeted sequencing
MIT License
520 stars 44 forks source link

UNCALLED

A Utility for Nanopore Current Alignment to Large Expanses of DNA

UNCALLED logo

A read mapper which rapidly aligns raw nanopore signal to DNA references

Enables software-based targeted sequenceing on Oxford Nanopore (ONT) MinION or GridION via adaptive sampling

Note that UNCALLED can only be applied to legacy r9.4.1 data. For r10.4.1 data try ReadFish or ONT's builtin adaptive sampling option.

Targeted nanopore sequencing by real-time mapping of raw electrical signal with UNCALLED \ Sam Kovaka, Yunfan Fan, Bohan Ni, Winston Timp, Michael C. Schatz \ Nature Biotechnology (2020)

For accurate end-to-end nanopore signal alignment, visualization, and analysis see Uncalled4

Installation

> pip3 install git+https://github.com/skovaka/UNCALLED.git --user

OR

> git clone --recursive https://github.com/skovaka/UNCALLED.git
> cd UNCALLED
> pip3 install .

Requires python >= 3.6, read-until == 3.0.0, pybind11 >= 2.5.0, and GCC >= 4.8.1 (all except GCC are automatically downloaded and installed)

Other dependencies are included via submodules, so be sure to clone with git --recursive

We recommend running on a Linux machine. UNCALLED has been successfully installed and run on Mac computers, but real-time ReadUntil has not been tested on a Mac. Installing UNCALLED has not been attempted on Windows.

Indexing

Example:

> uncalled index -o E.coli E.coli.fasta

Positional arguments:

Optional arguments:

Note that UNCALLED uses the BWA FM Index to encode the reference, and this command will use a previously built BWA index if all the required files exist with the specified prefix. Otherwise, a new BWA index will be automatically built.

We recommend applying repeat masking your reference if it contains eukaryotic sequences. See masking for more details.

Fast5 Mapping

Example:

> uncalled map -t 16 E.coli fast5_list.txt > uncalled_out.paf
Loading fast5s
Mapping

> head -n 4 uncalled_out.paf
b84a48f0-9e86-47ef-9d20-38a0bded478e 3735 77 328 + Escherichia_coli_chromosome 4765434 2024611 2024838 66 228 255  ch:i:427 st:i:50085  mt:f:53.662560
77fe7f8c-32d6-4789-9d62-41ff482cf890 5500 94 130 + Escherichia_coli_chromosome 4765434 2333754 2333792 38 39  255  ch:i:131 st:i:238518 mt:f:19.497091
eee4b762-25dd-4d4a-8a59-be47065029be 2905     *      *      *      *      *      *      *      *      *       255  ch:i:44  st:i:302369 mt:f:542.985229
e175c87b-a426-4a3f-8dc1-8e7ab5fdd30d 8052 84 154 + Escherichia_coli_chromosome 4765434 1064550 1064614 41 65  255  ch:i:182 st:i:452368 mt:f:38.611683

Positional arguments:

Optional arguments:

See example/ for a simple read and reference example.

Real-Time ReadUntil

Warning: in the latest MinKNOW version, an API bug may prevent UNCALLED from properly ejecting reads. You can identify this bug if you do not see a peak of small "adaptive sampling" reads in read length histogram. If this occurs you should stop your sequencing run, briefly start a new sequencing run with MinKNOW's builtin version of adaptive sampling enabled, then stop that run and restart your UNCALLED run. We have found that this may initialize something in MinKNOW which allows UNCALLED to function properly.

Example:

> uncalled realtime E.coli --port 8000 -t 16 --enrich -c 3 > uncalled_out.paf 
Starting client
Starting mappers
Mapping

> head -n 4 uncalled_out.paf
81ba344d-60df-4688-b37f-9064e76a3eb8 1352 *     *     *     *      *      *      *      *      *   255 ch:i:68  st:i:29101 mt:f:375.93841 wt:f:1440.934 mx:f:0.152565
404113c1-6ace-4690-885c-9c4a47da6476 450  *     *     *     *      *      *      *      *      *   255 ch:i:106 st:i:29268 mt:f:63.272270 wt:f:1591.070 en:f:0.010086
d9acafe3-23dd-4a0f-83db-efe299ee59a4 1355 *     *     *     *      *      *      *      *      *   255 ch:i:118 st:i:29378 mt:f:239.50201 wt:f:1403.641 ej:f:0.120715
8a6ec472-a289-4c50-9a75-589d7c21ef99 451  98 369 + Escherichia_coli 4765434 3421845 3422097 56 253 255 ch:i:490 st:i:29456 mt:f:79.419411 wt:f:8.551202 kp:f:0.097424

We recommend that you try mapping fast5s via uncalled map before real-time enrichment, as runtime issues could occur if UNCALLED is not installed properly.

The command can generally be run at any time before or during a sequencing run, although an error may occur if UNCALLED is run before any sequencing run has been started in the current MinKNOW session. If this is happens you should start UNCALLED after the run begins, ideally during the first mux scan. If you want to change the chunk size you must run the command before starting the run (see below).

Positional arguments:

Required arguments:

Optional Arguments:

Altering Chunk Size

The ReadUntil API receives signal is "chunks", which by default are one second's worth of signal. This can be changed using the --chunk-size parameter. Note that --max-chunks-proc should also be changed to compensate for changes to chunk sizes. If the chunk size is changed, you must start running UNCALLED before sequencing begins. UNCALLED is unable to change the chunk size mid-seqencing-run. In general reducing the chunk size should improve enrichment, although previous work has found that the API becomes unreliable with chunks sizes less than 0.4 seconds. We have not thoroughly tested this feature, and recommend using the default 1 second chunk size for most cases. In the future this default size may be reduced.

Simulator

Example:

> uncalled sim E.coli.fasta /path/to/control/fast5s --ctl-seqsum /path/to/control/sequencing_summary.txt --unc-seqsum /path/to/uncalled/sequencing_summary.txt --unc-paf /path/to/uncalled/uncalled_out.paf -t 16 --enrich -c 3 --sim-speed 0.25 > uncalled_out.paf 2> uncalled_err.txt

> sim_scripts/est_genome_yield.py -u uncalled_out.paf --enrich -x E.coli -m mm2.paf -s sequencing_summary.txt --sim-speed 0.25

unc_on_bp       150.678033
unc_total_bp    6094.559395
cnt_on_bp       33.145022
cnt_total_bp    8271.651331

The simulator simulates a real-time run using data from two real runs: one control run and one UNCALLED run. Reads are simulated from the control run, and the pattern of channel activity of modeled after the control run. The simulator outputs a PAF file similar to the real-time mode, which can be interperted using scripts found in sim_scripts/.

Example files which can be used as template UNCALLED sequencing summary and PAF files for the simulator can be found here. The control reads/sequencing summary can be from any sequencing run of your sample of interest, and it does not have to match the sample used in the provided examples.

The simulator can take up a large amount of memory (> 100Gb), and loading the fast5 reads can take quite a long time. To reduce the time/memory requirements you could truncate your control sequencing summary and only the loads present in the summary will be loaded, although this may reduce the accuracy of the simulation. Also, unfortunately the fast5 loading portion of the simulator cannot be exited via a keyboard interrupt and must be hard-killed. I will work on fixing this in future versions.

Arguments:

Exactly one of --deplete or --enrich must be specified

Output Format

UNCALLED outputs to stdout in a format similar to PAF. Unmapped reads are output with reference-location-dependent fields replaced with *s. Lines that begin with "#" are comments that useful for debugging.

Query coordinates, residue matches, and block lengths are estimated assuming 450bp sequenced per second. This estimate can be significantly off depending on the sequencing run. UNCALLED attempts to map a read as early as possible, so the "query sequence length" and "query end" fields correspond to the leftmost position where UNCALLED was able to confidently map the read. In many cases this may only be 450bp or 900bp into the read, even if the read is many times longer than this. This differs from aligners such as minimap2, which attempt to map the full length of the read.

The "query sequence length" field currently does not correspond to the actual read length, rather an estimate of the number of bases that UNCALLED attempted to align. In most cases this will be equal to "query end". This may be changed to better reflect the full read length in future versions.

Both modes include the following custom attributes in each PAF entry:

uncalled realtime also includes the following attributes:

pafstats

We have included a functionality called uncalled pafstats which computes speed statistics from a PAF file output by UNCALLED. Accuracy statistics can also be included if provided a ground truth PAF file, for example based on [minimap2](https://github.com/lh3/minimap2 alignments of basecalled reads. There is also an option to output the original UNCALLED PAF annotated with comparisons to the ground truth.

Example:

> uncalled pafstats -r minimap2_alns.paf -n 5000 uncalled_out.paf
Summary: 5000 reads, 4373 mapped (89.46%)

Comparing to reference PAF
     P     N
T  88.74  6.80
F   0.60  3.74
NA: 0.12

Speed            Mean    Median
BP per sec:   4878.24   4540.50
BP mapped:     636.29    362.00
MS to map:     140.99     89.96

Positional arguments

Optional arguments

Accuracy statistics:

Practical Considerations

For ReadUntil sequencing, the first decision to make is whether to perform enrichment or depletion (--enrich or --deplete). In enrichment mode, UNCALLED will eject a read if it does not map to the reference, meaning your target should be the reference. In depletion mode, UNCALLED will eject a read if it does map to the reference, meaning your target should be everything except your reference.

Note that enrichment necessitates a quick decision as to whether or not a read maps, since you want to eject a read as fast as possible. Usually ~95% of reads can be mapped within three seconds for highly non-repetitive references, so setting -c/--max-chunks-proc to 3 generally works well for enrichment. The default value of 10 works well for depletion. Note these values assume --chunk-size is set to the default 1 second.

UNCALLED currently does not support large (> ~1Gbp) or highly repetitive references. The speed and mapping rate both progressively drop as references become larger and more repetitive. Bacterial genomes or small collections of divergent bacterial genomes typically work well. Small segments of eukaryotic genomes can also be used, however the presence of any repetitve elements will harm the performance. Collections of highly similar genomes wil not work well, as conserved sequences introduce repeats. See masking for repeat masking scripts and guidelines.

ReadUntil works best with longer reads. Maximize your read lengths for best results. You may also need to perform a nuclease flush and reloading to achieve the highest yield of on-target bases.

UNCALLED currently only supports reads sequenced with r9.4.1/r9.4 chemistry.

Release notes