AssemblyQC: a Nextflow pipeline for reproducible reporting of assembly quality

Author:

Rashid Usman1,Wu Chen1,Shiller Jason2,Smith Ken1,Crowhurst Ross1,Davy Marcus2,Chen Ting-Hsuan3,Carvajal Ignacio1,Bailey Sarah1,Thomson Susan3,Deng Cecilia H1ORCID

Affiliation:

1. Molecular & Digital Breeding, The New Zealand Institute for Plant and Food Research Limited , 1025 Auckland, New Zealand

2. Molecular & Digital Breeding, The New Zealand Institute for Plant and Food Research Limited , 3182 Te Puke, New Zealand

3. Molecular & Digital Breeding, The New Zealand Institute for Plant and Food Research Limited , 7608 Lincoln, New Zealand

Abstract

Abstract Summary Genome assembly projects have grown exponentially due to breakthroughs in sequencing technologies and assembly algorithms. Evaluating the quality of genome assemblies is critical to ensure the reliability of downstream analysis and interpretation. To fulfil this task, we have developed the AssemblyQC pipeline that performs file-format validation, contaminant checking, contiguity measurement, gene- and repeat-space completeness quantification, telomere inspection, taxonomic assignment, synteny alignment, scaffold examination through Hi-C contact-map visualization, and assessments of completeness, consensus quality and phasing through k-mer analysis. It produces a comprehensive HTML report with method descriptions, tables, and visualizations. Availability and implementation The pipeline uses Nextflow for workflow orchestration and adheres to the best-practice established by the nf-core community. This pipeline offers a reproducible, scalable, and portable method to assess the quality of genome assemblies—the code is available online at GitHub: https://github.com/Plant-Food-Research-Open/assemblyqc.

Funder

Traits for Life Indoors

Publisher

Oxford University Press (OUP)

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