miniasm

miniasm constructs de novo genome assemblies from noisy long reads produced by Single Molecule Real-Time (SMRT) sequencing and Oxford Nanopore Technologies (ONT) using an overlap-layout approach without prior error correction.


Key Features:

  • Overlap-Layout-Consensus (OLC): Implements an overlap-layout-consensus (OLC) approach for de novo assembly without requiring a prior error correction stage.
  • Input from minimap: Consumes all-vs-all read self-mappings generated by the mapper minimap as input.
  • Assembly graph output: Constructs an assembly graph in Graphical Fragment Assembly (GFA) format.
  • Long-read support: Targets long reads exceeding 10 kilobases from SMRT and ONT with inherent error rates up to 10–15%.
  • Speed: Enables rapid assembly that significantly outperforms traditional pipelines in speed.
  • Pairwise mapping format: Introduces a novel pairwise read mapping format for representing overlaps.
  • Interoperability: Supports interoperability with other bioinformatics tools through use of the GFA format.

Scientific Applications:

  • De novo genome assembly: Performs rapid de novo assembly of genomes from noisy long-read sequencing data (SMRT, ONT).
  • Workflow integration: Integrates into broader genomic analysis workflows via GFA output and compatibility with minimap mappings.

Methodology:

Applies an overlap-layout-consensus (OLC) approach to all-vs-all minimap read self-mappings, constructs an assembly graph in GFA format, and uses a novel pairwise read mapping format while omitting a prior error-correction stage.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
C, JavaScript, Shell
Added:
3/22/2022
Last Updated:
9/17/2025

Operations

Publications

Li H. Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences. Bioinformatics. 2016;32(14):2103-2110. doi:10.1093/bioinformatics/btw152. PMID:27153593. PMCID:PMC4937194.

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