Cargando…
Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks
BACKGROUND: To increase the accuracy of microbiome data analysis, solving the technical limitations of the existing sequencing machines is required. Quality trimming is suggested to reduce the effect of the progressive decrease in sequencing quality with the increased length of the sequenced library...
Autores principales: | Mohsen, Attayeb, Park, Jonguk, Chen, Yi-An, Kawashima, Hitoshi, Mizuguchi, Kenji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858638/ https://www.ncbi.nlm.nih.gov/pubmed/31730472 http://dx.doi.org/10.1186/s12859-019-3187-5 |
Ejemplares similares
-
Snaq: A Dynamic Snakemake Pipeline for Microbiome Data Analysis With QIIME2
por: Mohsen, Attayeb, et al.
Publicado: (2022) -
Qiime Artifact eXtractor (qax): A Fast and Versatile Tool to Interact with Qiime2 Archives
por: Telatin, Andrea
Publicado: (2021) -
Joining Illumina paired-end reads for classifying phylogenetic marker sequences
por: Liu, Tsunglin, et al.
Publicado: (2020) -
Microbiome data analysis with applications to pre-clinical studies using QIIME2: Statistical considerations
por: Rai, Shesh N., et al.
Publicado: (2019) -
QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data
por: Estaki, Mehrbod, et al.
Publicado: (2020)