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Kindel: indel-aware consensus from aligned BAM

JOSS status PyPI version Python support Tests

Kindel reconciles substitutions and CIGAR-described indels to to produce a majority consensus from a SAM/BAM file. Using the --realign option, Kindel can optionally recover consensus across short alignment gaps using soft-clipped sequence information. Where Kindel finds 'clip-dominant' regions of an alignment, in realignment mode it attempts to reassemble the consensus sequence using unaligned sequence context. Primarily intended for use with small alignments of e.g. virus genomes, it has been tested with BAMs created by aligners BWA and Minimap2. If you encounter problems, please open an issue. Please also cite the JOSS article if you find this useful.

Core functionality

clip-dominant region

Reassembly of clip-dominant regions (CDRs) with --realign

clip-dominant region

Features

  • Consensus of aligned substititutions, small insertions and deletions

  • Optional consensus reassembly around large 'clip-dominant' alignment gaps (using --realign) using overlapping soft-clipped alignment context

  • Support for short, paired and long reads mapped with Minimap2, BWA-MEM, and Segemehl

  • Support for BAMs with multiple reference contigs, chromosomes

  • Visualisation of aligned and clipped sequence depth by site alongside insertions, deletions (kindel plot)

Limitations

  • Intended for use with small alignments of e.g. virus genomes. Expect slow performance with megabase genomes.
  • SAM/BAM files must contain an SQ header line with reference sequence length(s).
  • Realignment mode (--realign) is able to close gaps of up to 2x read length given ample depth of coverage.

Installation

Install inside existing Python environment:

# Requires Python 3.8+ and Samtools
pip install kindel

Complete installation using a conda-compatible package manager:

conda create -y -n kindel python=3.13 samtools
conda activate kindel
pip install kindel

Development install:

git clone https://github.com/bede/kindel.git
cd kindel
pip install --editable '.[dev]'

Usage (kindel consensus)

Also see usage.ipynb

Command line

Generate a consensus sequence from an aligned BAM, saving the consensus sequence to cns.fa:

$ kindel consensus alignment.bam > cns.fa

Generate a consensus sequence from an aligned BAM with realignment mode enabled, allowing closure of gaps in the consensus sequence:

$ kindel consensus --realign alignment.bam > cns.fa

Built in help:

$ kindel -h
usage: kindel [-h] {consensus,weights,features,variants,plot} ...

positional arguments:
  {consensus,weights,features,variants,plot,version}
    consensus           Infer consensus sequence(s) from alignment in SAM/BAM
                        format
    weights             Returns table of per-site nucleotide frequencies and
                        coverage
    features            Returns table of per-site nucleotide frequencies and
                        coverage including indels
    variants            Output variants exceeding specified absolute and
                        relative frequency thresholds
    plot                Plot sitewise soft clipping frequency across reference
                        and genome
    version             Show version

optional arguments:
  -h, --help            show this help message and exit
$  kindel consensus -h
usage: kindel consensus [-h] [-r] [--min-depth MIN_DEPTH]
                        [--min-overlap MIN_OVERLAP] [-c CLIP_DECAY_THRESHOLD]
                        [--mask-ends MASK_ENDS] [-t] [-u]
                        bam_path

Infer consensus sequence(s) from alignment in SAM/BAM format

positional arguments:
  bam_path              path to SAM/BAM file

optional arguments:
  -h, --help            show this help message and exit
  -r, --realign         attempt to reconstruct reference around soft-clip
                        boundaries (default: False)
  --min-depth MIN_DEPTH
                        substitute Ns at coverage depths beneath this value
                        (default: 1)
  --min-overlap MIN_OVERLAP
                        match length required to close soft-clipped gaps
                        (default: 7)
  -c CLIP_DECAY_THRESHOLD, --clip-decay-threshold CLIP_DECAY_THRESHOLD
                        read depth fraction at which to cease clip extension
                        (default: 0.1)
  --mask-ends MASK_ENDS
                        ignore clip dominant positions within n positions of
                        termini (default: 50)
  -t, --trim-ends       trim ambiguous nucleotides (Ns) from sequence ends
                        (default: False)
  -u, --uppercase       close gaps using uppercase alphabet (default: False)

Python API

from kindel import kindel

kindel.bam_to_consensus(bam_path, realign=False, min_depth=2, min_overlap=7,
                        clip_decay_threshold=0.1, trim_ends=False, uppercase=False)

Issues

Please let me know if you run into problems by opening a GitHub issue, tweeting @beconstant or mailing me via b at bede dawt im. Ideally send me your BAM, or a subsample of it!

Visualising alignments (kindel plot)

It can be useful to visualise rates of insertion, deletion and alignment clipping across an alignment. kindel plot generates an interactive HTML plot showing relevant alignment information.

To plot aligned depth alongside insertion, deletion and soft clipping frequency:

kindel plot tests/data_minimap2/2.issue23.debug.bam

Original alignment Plot of original alignment

After alignment to Kindel consensus sequence Plot after alignment to Kindel consensus sequence

Contributing

If you would like to contribute to this project, please open an issue or contact the author directly using the details above. Please note that this project is released with a Contributor Code of Conduct, and by participating in this project you agree to abide by its terms.

Before opening a pull request, please:

  • Ensure tests pass in a local development build (see installation instructions) by executing pytest inside the package directory.
  • Increment the version number inside __init__.py according to SemVer.
  • Update documentation and/or tests if possible.