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deepsomatic

imported

software/deepsomatic

DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.

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

deepsomatic project image
GitHub preview card for google/deepsomatic. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
google
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · deep-learning · deepsomatic · dna · genome · genomics · machine · science
Regulatory
unknown
built by · 1

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.

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    A package for designing compact and comprehensive capture probe sets.

  • deepvariantbioinformatics · dna · genome · genomics

    DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

  • gatkbioinformatics · dna · genome · genomics

    Official code repository for GATK versions 4 and up

  • arvbioinformatics · dna · genome

    A fast 23andMe DNA parser and inferrer for Python

  • pyfastxbioinformatics · dna · genome

    a python package for fast random access to sequences from plain and gzipped FASTA/Q files

  • flaggerbioinformatics · genome · genomics

    Evaluating genome assemblies

sources
  1. api.github.com/repos/google/deepsomatic
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-05, 314 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/49.json→ .entries["deepsomatic"]

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