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MutScan

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software/mutscan

Detect and visualize target mutations by scanning FastQ files directly

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

MutScan project image
GitHub preview card for OpenGene/MutScan. 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
dormant
Maturity
deployed
Organization
OpenGene
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · cancer · detection · fastq · mutation · ngs · somatic · validation · variant · visualization
Regulatory
unknown
built by · 4

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.

  • mgp1000bioinformatics · cancer · somatic

    Nextflow bioinformatics pipeline for large-scale analysis of Multiple Myeloma genomes

  • gencorebioinformatics · ngs · somatic

    Generate duplex/single consensus reads to reduce sequencing noises and remove duplications

  • fastq_utilsfastq · ngs · validation

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

  • dysgubioinformatics · variant

    Toolkit for calling structural variants using short or long reads

  • GenomicsDBbioinformatics · variant

    High performance data storage for importing, querying and transforming variants.

  • zolbioinformatics · detection · visualization

    zol (& fai): large-scale targeted detection and evolutionary investigation of gene clusters (i.e. BGCs, phages, etc.)

sources
  1. api.github.com/repos/OpenGene/MutScan
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-02-10, 157 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/20.json→ .entries["mutscan"]

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