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megahit

imported

software/megahit

Ultra-fast and memory-efficient (meta-)genome assembler

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · data-structures · genome-assembly · genomics · metagenomics · succinct
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.

  • viral-ngsbioinformatics · genome-assembly · genomics

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

  • pyranges0data-structures · genomics

    Performant Pythonic GenomicRanges

  • DRAMbioinformatics · genomics · metagenomics

    Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes

  • Genome-on-Dietbioinformatics · genomics · metagenomics

    Genome-on-Diet is a fast and memory-frugal framework for exemplifying sparsified genomics for read mapping, containment search, and metagenomic profiling. It is much faster & more memory-efficient…

  • indelopegenome-assembly · genomics

    find large indels (in the blind spot between GATK/freebayes and SV callers)

  • mccortexgenome-assembly · genomics

    De novo genome assembly and multisample variant calling

sources
  1. api.github.com/repos/voutcn/megahit
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-28, 721 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/36.json→ .entries["megahit"]

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