MEANGS
MEANGS assembles de novo animal mitochondrial genomes from whole genome next-generation sequencing (NGS) data to produce mitogenome sequences for downstream phylogenetic, evolutionary, and ecological analyses.
Key Features:
- Seed-free de novo assembly: Performs de novo assembly without relying on pre-existing seed sequences by using self-discovery seeds to initiate contig extension from WGS data.
- Trie-search methodology: Implements a trie-search technique to efficiently and rapidly extend contigs from self-discovered seeds.
- Performance evaluation: In comparative studies across 16 species with varying data quality, MEANGS completed all tests and produced full or partial mitogenomes where three other programs failed to complete every sample.
- Sequence selection and annotation: Selects high-quality assembly sequences and annotates mitochondrial protein-coding genes.
Scientific Applications:
- Phylogenetic studies: Provides assembled mitogenomes for resolving species relationships and phylogenetic inference.
- Evolutionary studies: Supplies mitogenome sequences for analyses of evolutionary patterns and divergence.
- Ecological studies: Enables use of mitogenomes in ecological and biodiversity assessments.
- Species identification: Supports species identification using assembled mitochondrial sequences.
- Population genetics: Facilitates population-level analyses using mitochondrial markers.
- Study of evolutionary relationships: Delivers complete or partial mitogenomes for comparative analyses of evolutionary relationships.
Methodology:
Performs de novo assembly from whole genome NGS/WGS data using self-discovery seeds, trie-search-based contig extension, selection of high-quality assembly sequences, and annotation of mitochondrial protein-coding genes.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++, Python
- Added:
- 5/23/2022
- Last Updated:
- 5/23/2022
Operations
Publications
Song M, Yan C, Li J. MEANGS: an efficient seed-free tool for <i>de novo</i> assembling animal mitochondrial genome using whole genome NGS data. Briefings in Bioinformatics. 2021;23(1). doi:10.1093/bib/bbab538. PMID:34941991.
DOI: 10.1093/BIB/BBAB538
PMID: 34941991
Funding: - Strategic Priority Research Program of Chinese Academy of Sciences: XDB31000000
- Second Tibetan Plateau Scientific Expedition and Research Program: 2019QZKK0501
- International Partnership Program of Chinese Academy of Sciences: 151751KYSB20190024
- Key Research Program of Frontier Sciences: QYZDB-SSW-SMC058
- Sichuan Science and Technology Program: 2021JDJQ0002