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MGSE

imported

software/mgse

Mapping-based Genome Size Estimation (MGSE) performs an estimation of a genome size based on a read mapping to an existing genome sequence assembly.

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

MGSE project image
GitHub preview card for bpucker/MGSE. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
genome · genome-assembly · genome-size-estimation · genomics · illumina · nanopore-sequencing · ngs · ont · pacbio · plants · read-mapping
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.

  • ClairS-TOgenomics · illumina · ont

    ClairS-TO - a deep-learning method for tumor-only somatic variant calling

  • chromeistergenome · genomics · plants

    A dotplot generator for large chromosomes

  • haslrgenome-assembly · genomics · pacbio

    A fast tool for hybrid genome assembly of long and short reads

  • Varathongenomics · read-mapping

    A scalable variant calling and benchmarking framework supporting both short and long reads.

  • viral-ngsgenome · genome-assembly · genomics

    viral-ngs: command line tools and wrappers for processing raw viral genomic data

  • readfishgenomics · ont

    CLI tool for flexible and fast adaptive sampling on ONT sequencers

sources
  1. api.github.com/repos/bpucker/MGSE
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-11, 41 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["mgse"]

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