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.