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ChromDragoNN

imported

software/chromdragonn

Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts"

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

ChromDragoNN project image
GitHub preview card for kundajelab/ChromDragoNN. 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
kundajelab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
chromatin-accessibiity · deep-learning · epigenetics · gene-regulation · genomics
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.

  • craftgrngene-regulation

    Combined RNA and ATAC Footprint Training of Gene Regulatory Network

  • scATAC-prochromatin-accessibiity

    A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data

  • bapepigenetics · genomics

    Bead-based single-cell atac processing

  • jangguepigenetics · genomics

    Deep learning infrastructure for genomics

  • MAASepigenetics · genomics

    Delineation of tumor cell subpopulations using MAAS

  • mgatkepigenetics · genomics

    mgatk: mitochondrial genome analysis toolkit

sources
  1. api.github.com/repos/kundajelab/ChromDragoNN
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-06-09, 44 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/19.json→ .entries["chromdragonn"]

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