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- W4377019735 abstract "Abstract The implementation of Hi-C reads in the de novo genome assembly allows to order large regions of the genome in scaffolds, obtaining chromosome-level assemblies. Several bioinformatics tools have been developed for genome scaffolding with HiC, and all have pros and cons which need to be carefully evaluated before adoption. Here we considered QUAST and BUSCO scores to benchmark the performance of three scaffolders, 3d-dna, SALSA2, and YaHS, on a de novo assembly of Arabidopsis thaliana . In our analysis, YaHS resulted to be the best performing bioinformatic tool for scaffolding of de novo genome assembly." @default.
- W4377019735 created "2023-05-19" @default.
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- W4377019735 date "2023-05-18" @default.
- W4377019735 modified "2023-10-17" @default.
- W4377019735 title "Benchmarking of Hi-C tools for scaffolding de novo genome assemblies" @default.
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- W4377019735 doi "https://doi.org/10.1101/2023.05.16.540917" @default.
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