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DNAfusion

imported

software/dnafusion

Identification of gene-fusions, including EML4-ALK

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

DNAfusion project image
GitHub preview card for CTrierMaansson/DNAfusion. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioconductor-package · circulating-tumor-dna · gene-fusion · genetics · liquid-biopsy · next-generation-sequencing · r · targeted-sequencing
Regulatory
unknown
built by · 2

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.

  • arribagene-fusion

    Fast and accurate gene fusion detection from RNA-Seq data

  • ScanNeo2gene-fusion

    Snakemake-based computational workflow for neoantigen prediction from diverse sources

  • adVNTRnext-generation-sequencing

    A tool for genotyping Variable Number Tandem Repeats (VNTR) from sequence data

  • albatradisnext-generation-sequencing

    Comparative TraDIS analysis

  • aribanext-generation-sequencing

    Antimicrobial Resistance Identification By Assembly

  • Artemisnext-generation-sequencing

    Artemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses within the context of the sequence, and its six-frame translation

sources
  1. api.github.com/repos/CTrierMaansson/DNAfusion
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-13, 4 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/14.json→ .entries["dnafusion"]

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