Cargando…
AmpliCI: a high-resolution model-based approach for denoising Illumina amplicon data
MOTIVATION: Next-generation amplicon sequencing is a powerful tool for investigating microbial communities. A main challenge is to distinguish true biological variants from errors caused by amplification and sequencing. In traditional analyses, such errors are eliminated by clustering reads within a...
Autores principales: | Peng, Xiyu, Dorman, Karin S |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850112/ https://www.ncbi.nlm.nih.gov/pubmed/32697845 http://dx.doi.org/10.1093/bioinformatics/btaa648 |
Ejemplares similares
-
Accurate estimation of molecular counts from amplicon sequence data with unique molecular identifiers
por: Peng, Xiyu, et al.
Publicado: (2023) -
varAmpliCNV: analyzing variance of amplicons to detect CNVs in targeted NGS data
por: Kumar, Ajay Anand, et al.
Publicado: (2022) -
DADA2: High resolution sample inference from Illumina amplicon data
por: Callahan, Benjamin J, et al.
Publicado: (2016) -
pyAmpli: an amplicon-based variant filter pipeline for targeted resequencing data
por: Beyens, Matthias, et al.
Publicado: (2017) -
IPED: a highly efficient denoising tool for Illumina MiSeq Paired-end 16S rRNA gene amplicon sequencing data
por: Mysara, Mohamed, et al.
Publicado: (2016)