Alpaca: a kmer-based approach for investigating mosaic structures in microbial genomes

Salazar, A.; Abeel, T.

doi:10.1101/551234

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bioRxiv · 10.1101/551234

Alpaca: a kmer-based approach for investigating mosaic structures in microbial genomes

Salazar, A.·Abeel, T.

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Abstract

SummaryMicrobial genomes are often mosaic: different regions can possess different evolutionary origins due to genetic recombination. The recent feasibility to assemble microbial genomes completely and the availability of sequencing data for complete microbial populations, means that researchers can now investigate the potentially rich evolutionary history of a microbe at a much higher resolution. Here, we present Alpaca: a method to investigate mosaicism in microbial genomes based on kmer similarity of large sequencing datasets. Alpaca partitions a given assembly into various sub-regions and compares their similarity across a population of genomes. The result is a high-resolution map of an entire genome and the most similar scoring clades across the given population. Availabilityhttps://github.com/AbeelLab/Alpaca Contactt.abeel@tudelft.nl

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Salazar, A., Abeel, T.. 2019-02-15. Alpaca: a kmer-based approach for investigating mosaic structures in microbial genomes. https://doi.org/10.1101/551234

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