A bioinformatics tool for working with modified bases from Oxford Nanopore. Specifically for converting modBAM to bedMethyl files using best practices, but also manipulating modBAM files and generating summary statistics. Detailed documentation and quick-start can be found in the online documentation.
Pre-compiled binaries are provided for Linux from the release page. We recommend the use of these in most circumstances.
The provided packages should be used where possible. We understand that some users may wish to compile the software from its source code. To build modkit from source cargo should be used.
git clone https://github.com/nanoporetech/modkit.git
cd modkit
cargo install --path .
# or
cargo install --git https://github.com/nanoporetech/modkit.gitModkit comprises a suite of tools for manipulating modified-base data stored in BAM files. Modified base information is stored in the MM and ML tags (see section 1.7 of the SAM tags specification). These tags are produced by contemporary basecallers of data from Oxford Nanopore Technologies sequencing platforms.
A primary use of modkit is to create summary counts of modified and unmodified bases in an extended bedMethyl format. bedMethyl files tabulate the counts of base modifications from every sequencing read over each reference genomic position.
In its simplest form modkit creates a bedMethyl file using the following:
modkit pileup path/to/reads.bam output/path/pileup.bed --log-filepath pileup.logNo reference sequence is required. A single file (described below) with base count summaries will be created. The final argument here specifies an optional log file output.
The program performs best-practices filtering and manipulation of the raw data stored in the input file. For further details see filtering modified-base calls.
For user convenience the counting process can be modulated using several additional transforms and filters. The most basic of these is to report only counts from reference CpG dinucleotides. This option requires a reference sequence in order to locate the CpGs in the reference:
modkit pileup path/to/reads.bam output/path/pileup.bed --cpg --ref path/to/reference.fastaThe program also contains a range of presets which combine several options for ease of use. The traditional preset,
modkit pileup path/to/reads.bam output/path/pileup.bed \
--ref path/to/reference.fasta \
--preset traditionalperforms three transforms:
- restricts output to locations where there is a CG dinucleotide in the reference,
- reports only a C and 5mC counts, using procedures to take into account counts of other forms of cytosine modification (notably 5hmC), and
- aggregates data across strands. The strand field od the output will be marked as '.' indicating that the strand information has been lost.
Using this option is equivalent to running with the options:
modkit pileup --cpg --ref <reference.fasta> --ignore h --combine-strandsFor more information on the individual options see the Advanced Usage help document.
Below is a description of the bedMethyl columns generated by modkit pileup. A brief description of the
bedMethyl specification can be found on Encode.
- Nmod - Number of calls passing filters that were classified as a residue with a specified base modification.
- Ncanonical - Number of calls passing filters were classified as the canonical base rather than modified. The
exact base must be inferred by the modification code. For example, if the modification code is
m(5mC) then the canonical base is cytosine. If the modification code isa, the canonical base is adenosine. - Nother mod - Number of calls passing filters that were classified as modified, but where the modification is different from the listed base (and the corresponding canonical base is equal). For example, for a given cytosine there may be 3 reads with
hcalls, 1 with a canonical call, and 2 withmcalls. In the bedMethyl row forhNother_mod would be 2. In themrow Nother_mod would be 3. - Nvalid_cov - the valid coverage. Nvalid_cov = Nmod + Nother_mod + Ncanonical, also used as the
scorein the bedMethyl - Ndiff - Number of reads with a base other than the canonical base for this modification. For example, in a row
for
hthe canonical base is cytosine, if there are 2 reads with C->A substitutions, Ndiff will be 2. - Ndelete - Number of reads with a deletion at this reference position
- Nfail - Number of calls where the probability of the call was below the threshold. The threshold can be set on the command line or computed from the data (usually failing the lowest 10th percentile of calls).
- Nnocall - Number of reads aligned to this reference position, with the correct canonical base, but without a base modification call. This can happen, for example, if the model requires a CpG dinucleotide and the read has a CG->CH substitution such that no modification call was produced by the basecaller.
| column | name | description | type |
|---|---|---|---|
| 1 | chrom | name of reference sequence from BAM header | str |
| 2 | start position | 0-based start position | int |
| 3 | end position | 0-based exclusive end position | int |
| 4 | modified base code | single letter code for modified base | str |
| 5 | score | Equal to Nvalid_cov. | int |
| 6 | strand | '+' for positive strand '-' for negative strand, '.' when strands are combined | str |
| 7 | start position | included for compatibility | int |
| 8 | end position | included for compatibility | int |
| 9 | color | included for compatibility, always 255,0,0 | str |
| 10 | Nvalid_cov | See definitions above. | int |
| 11 | fraction modified | Nmod / Nvalid_cov | float |
| 12 | Nmod | See definitions above. | int |
| 13 | Ncanonical | See definitions above. | int |
| 14 | Nother_mod | See definitions above. | int |
| 15 | Ndelete | See definitions above. | int |
| 16 | Nfail | See definitions above. | int |
| 17 | Ndiff | See definitions above. | int |
| 18 | Nnocall | See definitions above. | int |
The lines of the totals table are prefixed with a # character.
| row | name | description | type |
|---|---|---|---|
| 1 | bases | comma-separated list of canonical bases with modification calls. | str |
| 2 | total_reads_used | total number of reads from which base modification calls were extracted | int |
| 3+ | count_reads_{base} | total number of reads that contained base modifications for {base} | int |
| 4+ | filter_threshold_{base} | filter threshold used for {base} | float |
The modification calls table follows immediately after the totals table.
| column | name | description | type |
|---|---|---|---|
| 1 | base | canonical base with modification call | char |
| 2 | code | base modification code, or - for canonical |
char |
| 3 | pass_count | total number of passing (confidence >= threshold) calls for the modification in column 2 | int |
| 4 | pass_frac | fraction of passing (>= threshold) calls for the modification in column 2 | float |
| 5 | all_count | total number of calls for the modification code in column 2 | int |
| 6 | all_frac | fraction of all calls for the modification in column 2 | float |
For complete usage instructions please see the command-line help of the program or the Advanced usage help documentation. Some more commonly required examples are provided below.
To combine multiple base modification calls into one, for example to combine basecalls for both 5hmC and 5mC into a count for "all cytosine modifications" (with code C) the --combine-mods option can be used:
modkit pileup path/to/reads.bam output/path/pileup.bed --combine-modsIn standard usage the --preset traditional option can be used as outlined in the Usage section. By more directly specifying individual options we can perform something similar without loss of information for 5hmC data stored in the input file:
modkit pileup path/to/reads.bam output/path/pileup.bed --cpg --ref path/to/reference.fasta \
--combine-strands To produce a bedGraph file for each modification in the BAM file the --bedgraph option can be given. Counts for the positive and negative strands will be put in separate files.
modkit pileup path/to/reads.bam output/directory/path --bedgraph <--prefix string>The option --prefix [str] parameter allows specification of a prefix to the output file names.
Licence and Copyright
(c) 2023 Oxford Nanopore Technologies Plc.
Modkit is distributed under the terms of the Oxford Nanopore Technologies, Ltd. Public License, v. 1.0. If a copy of the License was not distributed with this file, You can obtain one at http://nanoporetech.com
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