The paper introduces NOVOPlasty, a novel seed-and-extend algorithm designed for de novo assembly of organelle genomes from whole genome sequencing (WGS) data. The authors highlight the challenges in assembling organelle genomes, which are often used in phylogenetic studies and food identification. NOVOPlasty is compared with other assemblers on both new and public datasets, demonstrating superior performance in terms of accuracy and coverage. The algorithm can assemble all tested circular genomes in less than 30 minutes with a maximum memory requirement of 16 GB and an accuracy over 99.99%. NOVOPlasty is the only de novo assembler that provides a fast and straightforward extraction of extranuclear genomes from WGS data in a single circular high-quality contig. The software is open-source and available for download. The study also discusses the importance of organelle genomes in scientific research and the limitations of current assembly tools, emphasizing the need for a user-friendly and reliable solution.The paper introduces NOVOPlasty, a novel seed-and-extend algorithm designed for de novo assembly of organelle genomes from whole genome sequencing (WGS) data. The authors highlight the challenges in assembling organelle genomes, which are often used in phylogenetic studies and food identification. NOVOPlasty is compared with other assemblers on both new and public datasets, demonstrating superior performance in terms of accuracy and coverage. The algorithm can assemble all tested circular genomes in less than 30 minutes with a maximum memory requirement of 16 GB and an accuracy over 99.99%. NOVOPlasty is the only de novo assembler that provides a fast and straightforward extraction of extranuclear genomes from WGS data in a single circular high-quality contig. The software is open-source and available for download. The study also discusses the importance of organelle genomes in scientific research and the limitations of current assembly tools, emphasizing the need for a user-friendly and reliable solution.