MetaPlatanus
MetaPlatanus assembles metagenomic short reads and long-range sequencing data (Oxford-Nanopore, PacBio, mate-pair libraries, 10x linked reads) to produce high-contiguity draft genomes and minimize inter-species misassemblies.
Key Features:
- Hybrid Assembly Approach: Constructs initial contigs from accurate short reads and iteratively incorporates long-range links from Oxford-Nanopore, PacBio, mate-pairs, and 10x linked reads (experimental) to extend contigs.
- Integration of Multiple Data Types: Integrates coverage depths, k-mer frequencies, and binning results to refine assemblies, correct misassemblies, and reduce inter-species misassemblies.
- Automated Multi-step Process: Automates contig assembly, scaffolding, gap closing, and binning.
Scientific Applications:
- Draft Genome Recovery: Recovers multiple draft genomes from metagenomic data, including genomes of uncultured organisms.
- Metagenome Structural Analysis: Produces high-contiguity assemblies suitable for exploring large-scale structures within metagenomes.
- Benchmarking and Element Recovery: Assembles coding genes, gene clusters, viral sequences, and substantial portions of bacterial genomes in mock datasets and human gut and saliva metagenomes.
Methodology:
Performs initial assembly from short-read paired-end libraries followed by iterative refinement using long-range information and species-specific sequence composition and coverage depth, and leverages binning information to assemble near-complete genomes, particularly for high-abundance bacterial species.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, C++, C, Perl, Shell
- Added:
- 2/17/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Sequence assembly
Publications
Kajitani R, Noguchi H, Gotoh Y, Ogura Y, Yoshimura D, Okuno M, Toyoda A, Kuwahara T, Hayashi T, Itoh T. MetaPlatanus: a metagenome assembler that combines long-range sequence links and species-specific features. Nucleic Acids Research. 2021;49(22):e130-e130. doi:10.1093/nar/gkab831. PMID:34570223. PMCID:PMC8682757.