hifi-trimmer 1.2.1

hifi_trimmer is a tool for filtering and trimming extraneous adapter hits from a HiFi read set using a BLAST search.

hifi_trimmer

hifi_trimmer is a command-line tool for filtering and trimming extraneous adapter hits from a HiFi read set using a BLAST search against a fasta file of adapter sequences. It is designed to be highly configurable, with per-adapter settings to determine actions if the adapter is found at the ends of a read or in the middle. To improve reproducibility, the primary output of the tool is a BED file that describes the region of each read to be excluded. The tool also includes a command to filter the reads to disk using the produced BED file.

The polars backend for BLAST file processing should respect the number of cores set by your scheduler; however, if this is not the case the number of threads used can be adjusted by setting the environment variable POLARS_MAX_THREADS=int before running the software. The number of threads used by the bgzip backend for writing compressed BED files and the filtered FASTA files can be adjusted using the command-line option --threads.

Installation

git clone [e-mail]:sanger-tol/hifi-trimmer.git
cd hifi-trimmer
pip install .

Usage

Usage: hifi_trimmer [OPTIONS] COMMAND [ARGS]...

  Main entry point for the tool.

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  filter_bam     Filter the reads stored in a BAM file using the...
  process_blast  Processes the input blastout file according to the...

To process a blast output TSV to a BED file:

Usage: hifi_trimmer process_blast [OPTIONS] BLASTOUT ADAPTER_YAML

  Processes the input blastout file according to the adapter yaml key.

  BLASTOUT: tabular file resulting from a BLAST query of a readset against a
  BLAST database of adapter sequences, run with -outfmt "6 std qlen". If the
  qlen column is missing, lengths can be calculated by passing the --bam
  option.

  ADAPTER_YAML: yaml file containing a list with the following fields per
  adapter:

  - name: (name of adapter. can be a regular expression)
    discard_middle: True/False (discard read if adapter found in middle)
    discard_end: True/False (discard read if adapter found in end)
    trim_end: True/False (trim read if adapter found in end)
    middle_pident: int (minimum pident requred to identify adapter in middle of read)
    middle_length: int (minimum match length required to identify adapter in middle of read)
    end_pident: int (minimum pident requred to identify adapter in end window)
    end_length: int (minimum match length requred to identify adapter in end window)

  Output: By default, writes bgzipped BED to [prefix].bed.gz, and a JSON
  summary file with raw counts of adapter hits detected, counts identified
  after processing, and the total length of removed sequences per adapter to
  [prefix].summary.json.

Options:
  -p, --prefix TEXT               Output prefix for results. Defaults to the
                                  basename of the blastout if not provided.
  -ml, --min_length_after_trimming INTEGER
                                  Minumum length of a read after trimming the
                                  ends in order not to be discarded  [default:
                                  300]
  -el, --end_length INTEGER       Window size at either end of the read to be
                                  considered as 'ends' for searching
                                  [default: 150]
  -hf, --hits                     Write the hits identified using the given
                                  adapter specifications to TSV. The format is
                                  standard BLAST outfmt 6 with the following
                                  extra columns: read_length (int), discard
                                  (bool), trim_l (bool), trim_r (bool)
  --no-summary                    Skip writing a summary TSV with the number
                                  of hits for each adapter
  -t, --threads INTEGER           Number of threads to use for compression
                                  [default: 1]
  --help                          Show this message and exit.

To filter a bam file using the BED file:

Usage: hifi_trimmer filter_bam [OPTIONS] BAM BED OUTFILE

  Filter the reads stored in a BAM file using the appropriate BED file
  produced by blastout_to_bed and write to a bgzipped fasta file.

  BAM: BAM file in which to filter reads
  BED: BED file describing regions of the read set to exclude.
  OUTFILE: File to write the filtered reads to (bgzipped).

Options:
  -f, --fastq            Write FASTQ instead of FASTA
  -t, --threads INTEGER  Number of threads to use for compression  [default:
                         1]
  --help                 Show this message and exit.

Example

First, BLAST your reads against an adapter database:

blastn -query <(samtools fasta /path/to/bam) \
  -db /path/to/adapter/blast/db \
  -reward 1 -penalty -5 -gapopen 3 -gapextend 3 \
  -dust no -soft_masking true -evalue 700 \
  -searchsp 1750000000000 \
  -outfmt "6 std qlen" |\
  bgzip > blastout.gz

To create a BED file, you then need to create a YAML file describing the actions to take for each adapter. The adapter name can be a regular expression, but note that each adapter name in the BLAST file must match only one entry in the YAML.

- adapter: "^NGB00972"  // regular expression matching adapter names
  discard_middle: True  // discard read if adapter is found in the middle
  discard_end: False    // discard read if adapter found at end
  trim_end: True        // trim read if adapter is found at end (overridden by discard choice)
  middle_pident: 95     // minimum percent identity for a match in the middle of the read
  middle_length: 44     // minimum match length for a match in the middle of the read
  end_pident: 90        // minimum percent identity for a match at the end of the read
  end_length: 18        // minimum match length for a match at the end of the read

Then run blastout_to_bed to generate a BED file:

hifi_trimmer process_blast /path/to/blastout.gz /path/to/yaml

Then filter the bam file using the BED file:

hifi_trimmer filter_bam /path/to/bam /path/to/bed /path/to/final/fasta.gz