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neusomatic

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software/neusomatic

NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection

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

neusomatic project image
GitHub preview card for bioinform/neusomatic. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-NC-SA-4.0(cc)
Status
dormant
Maturity
deployed
Organization
bioinform
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
convolutional-neural-networks · deep-learning · genomics · somatic-variants
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.

  • octopusgenomics · somatic-variants

    Bayesian haplotype-based mutation calling

  • OctopuSVgenomics · somatic-variants

    Merge and compare structural variants across callers, samples, and platforms. Standardizes BND-heavy output from GRIDSS, SvABA, Sniffles, and more.

  • CANCER_VAR_CALLsomatic-variants

    End-to-end somatic and germline variant calling pipeline using BWA, GATK HaplotypeCaller, VEP and ANNOVAR for tumor NGS analysis

  • Monopogensomatic-variants

    SNV calling from single cell sequencing

  • nRexsomatic-variants

    nRex: Germline and somatic single-nucleotide, short indel and structural variant calling

  • Pipelines_Inmegensomatic-variants

    Flujos de trabajos desarrollados y automatizados en el Intituto Nacional de Medicina Genómica para el procesamiento de datos genómicos y transcriptómicos.

sources
  1. api.github.com/repos/bioinform/neusomatic
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-12-23, 175 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-NC-SA-4.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["neusomatic"]

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