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ScanNeo2

imported

therapeutics/scanneo2

Snakemake-based computational workflow for neoantigen prediction from diverse sources

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

ScanNeo2 project image
GitHub preview card for ylab-hi/ScanNeo2. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
ylab-hi
Country
unknown
Documentation
unknown
Tags
epitope · exitron · gene-fusion · immunotherapy · indels · neoantigens · neoepitope · peptide
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.

  • immunarchimmunotherapy

    🧬 immunarch [R package] – Multi-Modal Immune Repertoire Analytics for Immunotherapy and Vaccine Design

  • bopeppeptide

    Bayesian Optimization for protein design and mining

  • PepMimicpeptide

    Official repository for the paper "Peptide design through binding interface mimicry with PepMimic" accepted by Nature Biomedical Engineering

  • arribagene-fusion

    Fast and accurate gene fusion detection from RNA-Seq data

  • covid19immunotherapy

    🦠 Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

  • DNAfusiongene-fusion

    Identification of gene-fusions, including EML4-ALK

sources
  1. api.github.com/repos/ylab-hi/ScanNeo2
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-06, 19 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["scanneo2"]

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