Cargando…
Performance difference of graph-based and alignment-based hybrid error correction methods for error-prone long reads
The error-prone third-generation sequencing (TGS) long reads can be corrected by the high-quality second-generation sequencing (SGS) short reads, which is referred to as hybrid error correction. We here investigate the influences of the principal algorithmic factors of two major types of hybrid erro...
Autores principales: | Wang, Anqi, Au, Kin Fai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966875/ https://www.ncbi.nlm.nih.gov/pubmed/31952552 http://dx.doi.org/10.1186/s13059-019-1885-y |
Ejemplares similares
-
A comparative evaluation of hybrid error correction methods for error-prone long reads
por: Fu, Shuhua, et al.
Publicado: (2019) -
Hybrid-hybrid correction of errors in long reads with HERO
por: Kang, Xiongbin, et al.
Publicado: (2023) -
VeChat: correcting errors in long reads using variation graphs
por: Luo, Xiao, et al.
Publicado: (2022) -
Jabba: hybrid error correction for long sequencing reads
por: Miclotte, Giles, et al.
Publicado: (2016) -
A hybrid and scalable error correction algorithm for indel and substitution errors of long reads
por: Das, Arghya Kusum, et al.
Publicado: (2019)