Cargando…
NoDe: a fast error-correction algorithm for pyrosequencing amplicon reads
BACKGROUND: The popularity of new sequencing technologies has led to an explosion of possible applications, including new approaches in biodiversity studies. However each of these sequencing technologies suffers from sequencing errors originating from different factors. For 16S rRNA metagenomics stu...
Autores principales: | Mysara, Mohamed, Leys, Natalie, Raes, Jeroen, Monsieurs, Pieter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403973/ https://www.ncbi.nlm.nih.gov/pubmed/25888405 http://dx.doi.org/10.1186/s12859-015-0520-5 |
Ejemplares similares
-
From reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing data
por: Mysara, Mohamed, 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) -
FlowClus: efficiently filtering and denoising pyrosequenced amplicons
por: Gaspar, John M, et al.
Publicado: (2015) -
Reconciliation between operational taxonomic units and species boundaries
por: Mysara, Mohamed, et al.
Publicado: (2017) -
Using expected sequence features to improve basecalling accuracy of amplicon pyrosequencing data
por: Rask, Thomas S., et al.
Publicado: (2016)