PBSIM: PacBio reads simulator - toward accurate genome assembly
By Yukiteru Ono, Kiyoshi Asai, Michiaki Hamada. Bioinform., 2013
313 citations recorded by the source corpus.
Subfields: Catalysis, Inorganic Chemistry, Organic Chemistry
View Paper: https://www.semanticscholar.org/paper/4b28ac39da5af16f8f72582223783aae0333ec42
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In Catalysis
In Inorganic Chemistry
In Organic Chemistry
Citations in the corpus
- WhatsHap: fast and accurate read-based phasing (2016, methodology): “From those, we simulated reads that mimic the read length profile and coverage of the real data using pbsim [41].”
- Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads (2016, methodology): “For each short-read set, we used PBSIM[42] to generate synthetic long reads at seven depths (0.25x, 0.5x, 1.0x, 2.0x, 4.0x, 8.0x and 16.0x).”
- Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation (2016, background): “PacBio sequence lengths follow a log-normal distribution (Ono et al. 2013), and additional coverage increases the probability of spanning a long repeat.”
- Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing (2019, methodology): “To generate a simulated dataset of long reads, PacBio long reads (average 7.5 – 20 kb) aimed at 10× coverage were simulated with Sim-A using the PBSIM simulator [57] (Fig.”
- The design and construction of reference pangenome graphs with minigraph (2020, methodology): “Ono, Y., Asai, K., Hamada, M.: PBSIM: PacBio reads simulator–toward accurate genome assembly.”
- One chromosome, one contig: complete microbial genomes from long-read sequencing and assembly. (2015, background): “However, rapid advances in chemistry and library preparation have boosted both the median and maximum sequence lengths [18 ,33] to 10 kbp and 50 kbp respectively in the latest runs [36 ,37 ].”