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HGG-oncohistones

imported

software/hgg-oncohistones

Analysis for "K27M in canonical and noncanonical H3 variants occurs in distinct oligodendroglial cell lineages in brain midline gliomas" (Jessa et al, Nature Genetics, 2022)

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

HGG-oncohistones project image
GitHub preview card for fungenomics/HGG-oncohistones. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
fungenomics
Country
unknown
Documentation
unknown
Tags
brain-development · cancer · cancer-genomics · epigenomics · functional-genomics · r-markdown · reproducible-paper · reproducible-research · single-cell
Regulatory
unknown
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    Data processing and analysis workflow for GAGE-seq, a coassay of single-cell HiC and single-cell RNA-seq

sources
  1. api.github.com/repos/fungenomics/HGG-oncohistones
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-17, 10 stars, license reported as GPL-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/2.json→ .entries["hgg-oncohistones"]

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