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Command line utility for manipulating Illumina-generated FASTQ files.

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fq

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fq filters, generates, subsamples, and validates FASTQ files.

Install

There are different methods to install fq.

Releases

Precompiled binaries are built for modern Linux distributions (x86_64-unknown-linux-gnu), macOS (x86_64-apple-darwin), and Windows (x86_64-pc-windows-msvc). The Linux binaries require glibc 2.31+ (CentOS/RHEL 9+, Debian 11+, Ubuntu 20.04+, etc.).

Conda

fq is available via Bioconda.

$ conda install fq=0.12.0

Manual

Clone the repository and use Cargo to install fq.

$ git clone --depth 1 --branch v0.12.0 https://github.com/stjude-rust-labs/fq.git
$ cd fq
$ cargo install --locked --path .

Container image

Container images are managed by Bioconda and available through Quay.io, e.g., using Docker:

$ docker image pull quay.io/biocontainers/fq:<tag>

See the repository tags for the available tags.

Alternatively, build the development container image:

$ git clone --depth 1 --branch v0.12.0 https://github.com/stjude-rust-labs/fq.git
$ cd fq
$ docker image build --tag fq:0.12.0 .

Usage

fq provides subcommands for filtering, generating, subsampling, and validating FASTQ files.

filter

fq filter filters a given FASTQ file by a set of names or a sequence pattern. The result includes only the records that match the given options.

Usage

Filters a FASTQ file

Usage: fq filter [OPTIONS] --dsts <DSTS> [SRCS]...

Arguments:
  [SRCS]...  FASTQ sources

Options:
      --names <NAMES>
          Allowlist of record names
      --sequence-pattern <SEQUENCE_PATTERN>
          Keep records that have sequences that match the given regular expression
      --dsts <DSTS>
          Filtered FASTQ destinations
  -h, --help
          Print help
  -V, --version
          Print version

Examples

# Filters an input FASTQ using the given allowlist.
$ fq filter --names allowlist.txt --dsts /dev/stdout in.fastq

# Filters FASTQ files by matching a sequence pattern in the first input's
# records and applying the match to all inputs.
$ fq filter --sequence-pattern ^TC --dsts out.1.fq --dsts out.2.fq in.1.fq in.2.fq

generate

fq generate is a FASTQ file pair generator. It creates two reads, formatting names as described by Illumina.

While generate creates "valid" FASTQ reads, the content of the files are completely random. The sequences do not align to any genome.

Usage

Generates a random FASTQ file pair

Usage: fq generate [OPTIONS] <R1_DST> <R2_DST>

Arguments:
  <R1_DST>  Read 1 destination. Output will be gzipped if ends in `.gz`
  <R2_DST>  Read 2 destination. Output will be gzipped if ends in `.gz`

Options:
  -s, --seed <SEED>                  Seed to use for the random number generator
  -n, --record-count <RECORD_COUNT>  Number of records to generate [default: 10000]
      --read-length <READ_LENGTH>    Number of bases in the sequence [default: 101]
  -h, --help                         Print help
  -V, --version                      Print version

Examples

# Generates the default number of records, written to uncompressed files.
$ fq generate /tmp/r1.fastq /tmp/r2.fastq

# Generates FASTQ paired reads with 32 records, written to gzipped outputs.
$ fq generate --record-count 32 /tmp/r1.fastq.gz /tmp/r2.fastq.gz

lint

fq lint is a FASTQ file pair validator.

Usage

Validates a FASTQ file pair

Usage: fq lint [OPTIONS] <R1_SRC> [R2_SRC]

Arguments:
  <R1_SRC>  Read 1 source. Accepts both raw and gzipped FASTQ inputs
  [R2_SRC]  Read 2 source. Accepts both raw and gzipped FASTQ inputs

Options:
      --lint-mode <LINT_MODE>
          Panic on first error or log all errors [default: panic] [possible values: panic, log]
      --single-read-validation-level <SINGLE_READ_VALIDATION_LEVEL>
          Only use single read validators up to a given level [default: high] [possible values: low, medium, high]
      --paired-read-validation-level <PAIRED_READ_VALIDATION_LEVEL>
          Only use paired read validators up to a given level [default: high] [possible values: low, medium, high]
      --disable-validator <DISABLE_VALIDATOR>
          Disable validators by code. Use multiple times to disable more than one
  -h, --help
          Print help
  -V, --version
          Print version

Validators

validate includes a set of validators that run on single or paired records. By default, records are validated with all rules, but validators can be disabled using --disable-validator CODE, where CODE is one of validators listed below.

Single
Code Level Name Validation
S001 low PlusLine Plus line starts with a "+".
S002 medium Alphabet All characters in sequence line are one of "ACGTN", case-insensitive.
S003 high Name Name line starts with an "@".
S004 low Complete All four record lines (name, sequence, plus line, and quality) are present.
S005 high ConsistentSeqQual Sequence and quality lengths are the same.
S006 medium QualityString All characters in quality line are between "!" and "~" (ordinal values).
S007 high DuplicateName All record names are unique.
Paired
Code Level Name Validation
P001 medium Names Each paired read name is the same, excluding interleave.

Examples

# Validate both reads using all validators. Exits cleanly (0) if no validation
# errors occur.
$ fq lint r1.fastq r2.fastq

# Log errors instead of quitting on first error.
$ fq lint --lint-mode log r1.fastq r2.fastq

# Disable validators S004 and S007.
$ fq lint --disable-validator S004 --disable-validator S007 r1.fastq r2.fastq

subsample

fq subsample outputs a subset of records from single or paired FASTQ files.

When using a probability (-p, --probability), each file is read through once, and a subset of records is selected based on that chance. Given the randomness used when sampling a uniform distribution, the output record count will not be exact but (statistically) close.

When using a record count (-n, --record-count), the first input is read twice, but it provides an exact number of records to be selected.

A seed (-s, --seed) can be provided to influence the results, e.g., for a deterministic subset of records.

For paired input, the sampling is applied to each pair.

Usage

Outputs a subset of records

Usage: fq subsample [OPTIONS] --r1-dst <R1_DST> <--probability <PROBABILITY>|--record-count <RECORD_COUNT>> <R1_SRC> [R2_SRC]

Arguments:
  <R1_SRC>  Read 1 source. Accepts both raw and gzipped FASTQ inputs
  [R2_SRC]  Read 2 source. Accepts both raw and gzipped FASTQ inputs

Options:
  -p, --probability <PROBABILITY>    The probability a record is kept, as a percentage (0.0, 1.0). Cannot be used with `record-count`
  -n, --record-count <RECORD_COUNT>  The exact number of records to keep. Cannot be used with `probability`
  -s, --seed <SEED>                  Seed to use for the random number generator
      --r1-dst <R1_DST>              Read 1 destination. Output will be gzipped if ends in `.gz`
      --r2-dst <R2_DST>              Read 2 destination. Output will be gzipped if ends in `.gz`
  -h, --help                         Print help
  -V, --version                      Print version

Examples

# Sample ~50% of records from a single FASTQ file
$ fq subsample --probability 0.5 --r1-dst r1.50pct.fastq r1.fastq

# Sample ~50% of records from a single FASTQ file and seed the RNG
$ fq subsample --probability --seed 13 --r1-dst r1.50pct.fastq r1.fastq

# Sample ~25% of records from paired FASTQ files
$ fq subsample --probability 0.25 --r1-dst r1.25pct.fastq --r2-dst r2.25pct.fastq r1.fastq r2.fastq

# Sample ~10% of records from a gzipped FASTQ file and compress output
$ fq subsample --probability 0.1 --r1-dst r1.10pct.fastq.gz r1.fastq.gz

# Sample exactly 10000 records from a single FASTQ file
$ fq subsample --record-count 10000 -r1-dst r1.10k.fastq r1.fastq

Legal

Please see the disclaimer that applies to all crates and command line tools made available by St. Jude Rust Labs.