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Mimeo

Table of contents

Modules

Mimeo comprises three tools for parsing repeats from whole-genome alignments:

mimeo-self

Internal repeat finder. Mimeo-self aligns a genome to itself and extracts high-identity segments above a coverage threshold. This method is less sensitive to disruption by indels and repeat-directed point mutations than kmer-based methods such as RepeatScout. Reported annotations indicate overlapping segments above the coverage threshold, mimeo-self does not attempt to separate nested repeats. Use this tool to identify candidate repeat regions for curated annotation.

mimeo-x

Cross-species repeat finder. A newly acquired or low-copy transposon may slip past copy-number based annotation tools. Mimeo-x searches for features which are abundant in an external reference genome, allowing for annotation of complete elements as they occur in a horizontal-transfer donor species, or of conserved coding segments of related transposon families.

mimeo-map

Find all high-identity segments shared between genomes. Mimeo-map identifies candidate horizontally transferred segments between sufficiently diverged species. When comparing isolates of a single species, aligned segments correspond to directly homologous sequences and internally repetitive features.

Intra/Inter-genomic alignments from Mimeo-self or Mimeo-x can be reprocessed with Mimeo-map to generate annotations of unfiltered/uncollapsed alignments. These raw alignment annotations can be used to interrogate repetitive-segments for coverage breakpoints corresponding to nested transposons with differing abundances across the genome.

mimeo-filter

An additional tool mimeo-filter is now included to allow post-filtering of SSR-rich sequences from FASTA formatted candidate-repeat libraries.

Installing Mimeo

Requirements:

Install from Bioconda:

conda install mimeo

Install from PyPi:

pip install mimeo

Clone and install from this repository:

git clone https://github.com/Adamtaranto/mimeo.git && cd mimeo

pip install -e '.[dev]'

License

Software provided under MIT license.