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Evaluating long-read de novo assembly tools for eukaryotic genomes: insights and considerations.

Bianca-Maria CosmaRamin Shirali Hossein ZadeErin Noel JordanPaul van LentChengyao PengStephanie PillayThomas Abeel
Published in: GigaScience (2023)
Our benchmark concludes that there is no assembler that performs the best in all the evaluation categories. However, our results show that overall Flye is the best-performing assembler for PacBio CLR and ONT reads, both on real and simulated data. Meanwhile, best-performing PacBio HiFi assemblers are Hifiasm and LJA. Next, the benchmarking using longer reads shows that the increased read length improves assembly quality, but the extent to which that can be achieved depends on the size and complexity of the reference genome.
Keyphrases
  • single molecule
  • electronic health record
  • genome wide
  • quality improvement
  • gene expression
  • machine learning
  • data analysis
  • deep learning