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vcf2prot

imported

software/vcf2prot

Accelerate the generation of personalized proteomes from a Variant calling format (VCF) file and a reference proteome using graphical processing units (GPUs).

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

vcf2prot project image
GitHub preview card for ikmb/vcf2prot. 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
ikmb
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
genetics · protein-sequences · proteomics · rust-lang · rust-library · vcf-converter · vcf-files
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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    Genomic and Proteomic data exploration and pattern mining

  • lightmotifrust-library

    A lightweight platform-accelerated library for biological motif scanning using position weight matrices.

  • ProteinCleaverStreamlitAppprotein-sequences · proteomics

    Protein Cleaver is a versatile tool for protein analysis and digestion.

  • proteoparcprotein-sequences · proteomics

    A bioinformatic tool to generate reference databases for ancient protein data analysis

  • pypdbprotein-sequences · proteomics

    A Python API for the RCSB Protein Data Bank (PDB)

  • pubchem.rsrust-library

    Rust data structures and client for the PubChem REST API

sources
  1. api.github.com/repos/ikmb/vcf2prot
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-04-28, 21 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/51.json→ .entries["vcf2prot"]

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