bioRxivBioinformaticsPreprint
Mapler: Assessing assembly quality in taxonomically rich metagenomes sequenced with HiFi reads
Nicolas MauriceiD, Claire LemaitreiD, Riccardo VicedominiiD, Clémence FriouxiD
Abstract
SummaryMetagenome assembly seeks to reconstruct the most high-quality genomes from sequencing data of microbial ecosystems. Despite technological advancements that facilitate assembly, such as Hi-Fi long reads, the process remains challenging in complex environmental samples consisting of hundreds to thousands of populations. Mapler is a metagenome assembly and evaluation pipeline with a focus on evaluating the quality of Hi-Fi long read metagenome assemblies. It incorporates several state-of-the-art metrics, as well as novel metrics assessing the diversity that remains uncaptured by the assembly process. Mapler facilitates the comparison of assembly strategies and helps identify methodological bottlenecks that hinder genome reconstruction. Availability and ImplementationMapler is open source and publicly available under the AGPL-3.0 licence at https://github.com/Nimauric/Mapler. Source code is implemented in Python and Bash as a Snakemake pipeline. Contactsnicolas.maurice@inria.fr, clemence.frioux@inria.fr. Supplementary informationAvailable online.
- assay: long-read sequencing
- assay: metagenomics
- research focus: benchmarking
- research focus: variant calling
- research focus: genome assembly
- approach: statistical model
- approach: benchmark study
- Citations
- 0
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