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fgbio

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software/fgbio

Tools for working with genomic and high throughput sequencing data.

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

fgbio project image
GitHub preview card for fulcrumgenomics/fgbio. 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
analyzing-genomic-data · bioinformatics · fgbio · genomics · molecular-indexes · ngs · scala · umi
Regulatory
unknown
built by · 6

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.

  • fgumibioinformatics · genomics · ngs · umi

    High-performance UMI tools for NGS data analysis

  • fastq_utilsngs · umi

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

  • GenomicsDBbioinformatics · genomics · scala

    High performance data storage for importing, querying and transforming variants.

  • gorbioinformatics · genomics · scala

    GORpipe is a tool based on a genomic ordered relational architecture and allows analysis of large sets of genomic and phenotypic tabular data using declarative query language, in a parallel…

  • scruffbioinformatics · umi

    Single Cell RNA-seq UMI Filtering Facilitator

  • bac-genomics-scriptsbioinformatics · genomics · ngs

    Collection of scripts for bacterial genomics

sources
  1. api.github.com/repos/fulcrumgenomics/fgbio
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-22, 372 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/52.json→ .entries["fgbio"]

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