Mapler: a pipeline for assessing assembly quality in taxonomically rich metagenomes sequenced with HiFi reads
MAURICE, Nicolas
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
VICEDOMINI, Riccardo
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
Leer más >
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
MAURICE, Nicolas
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
VICEDOMINI, Riccardo
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
< Leer menos
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Idioma
en
Article de revue
Este ítem está publicado en
Bioinformatics. 2025-06-02, vol. 41, n° 6
Oxford University Press (OUP)
Resumen en inglés
Abstract Summary Metagenome 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, ...Leer más >
Abstract Summary Metagenome 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 implementation Mapler 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. A snapshot of the code is available on Software Heritage at swh:1:snp:df4f5f02e22ebbab285ec14af58d4d88436ee5d6. Raw data and results are available at https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/2SA8AB.< Leer menos
Palabras clave en inglés
Sequance analysis
Sequence alignment
Microbiome
Metagenomics
Software
Metagenome assembly
HiFi long reads
Complex microbial ecosystems
Benchmarking
Evaluation
Bioinformatics
Proyecto ANR
Computationel models of crop plant microbial biodiversity - ANR-22-PEAE-0011
Orígen
Importado de HalCentros de investigación
