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fgumi

imported

software/fgumi

High-performance UMI tools for NGS data analysis

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

fgumi project image
GitHub preview card for fulcrumgenomics/fgumi. 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
active
Maturity
deployed
Organization
fulcrumgenomics
Country
unknown
Documentation
unknown
Tags
bioinformatics · consensus-calling · duplex-sequencing · genomics · ngs · rust · sequencing · umi
Regulatory
unknown
built by · 4

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.

  • gencorebioinformatics · duplex-sequencing · ngs · sequencing

    Generate duplex/single consensus reads to reduce sequencing noises and remove duplications

  • fgbiobioinformatics · genomics · ngs · umi

    Tools for working with genomic and high throughput sequencing data.

  • fastq_utilsngs · sequencing · umi

    Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.

  • bac-genomics-scriptsbioinformatics · genomics · ngs · sequencing

    Collection of scripts for bacterial genomics

  • catchbioinformatics · genomics · ngs · sequencing

    A package for designing compact and comprehensive capture probe sets.

  • galaxybioinformatics · genomics · ngs · sequencing

    Data intensive science for everyone.

sources
  1. api.github.com/repos/fulcrumgenomics/fgumi
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 52 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/27.json→ .entries["fgumi"]

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