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fq

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software/fq

Command line utility for manipulating FASTQ files

Machine-generated from the listed sources and not yet reviewed by a human.

fq project image
GitHub preview card for stjude-rust-labs/fq. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
stjude-rust-labs
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · fastq · fastq-files · genomics · illumina · next-generation-sequencing · rust
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • fqtoolsbioinformatics · fastq · fastq-files · next-generation-sequencing

    An efficient FASTQ manipulation suite

  • colordbioinformatics · fastq-files · genomics

    A versatile compressor of third generation sequencing reads.

  • fastq_utilsfastq · fastq-files

    Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.

  • fastpbioinformatics · fastq · illumina

    An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

  • fetch_ngsfastq · genomics · next-generation-sequencing

    Workflow to Fetch Public Sequencing Data and Metadata Using iSeq and MrBiomics Module.

  • ClairSbioinformatics · genomics · illumina

    ClairS: a deep-learning method for long-read tumor–normal pair somatic small variant calling

sources
  1. api.github.com/repos/stjude-rust-labs/fq
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-12, 100 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/56.json→ .entries["fq"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.