Cargando…
Meta-Apo improves accuracy of 16S-amplicon-based prediction of microbiome function
BACKGROUND: Due to their much lower costs in experiment and computation than metagenomic whole-genome sequencing (WGS), 16S rRNA gene amplicons have been widely used for predicting the functional profiles of microbiome, via software tools such as PICRUSt 2. However, due to the potential PCR bias and...
Autores principales: | Jing, Gongchao, Zhang, Yufeng, Cui, Wenzhi, Liu, Lu, Xu, Jian, Su, Xiaoquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788972/ https://www.ncbi.nlm.nih.gov/pubmed/33407112 http://dx.doi.org/10.1186/s12864-020-07307-1 |
Ejemplares similares
-
Reply to Sun et al., “Identifying Composition Novelty in Microbiome Studies: Improvement of Prediction Accuracy”
por: Su, Xiaoquan, et al.
Publicado: (2019) -
Method development for cross-study microbiome data mining: Challenges and opportunities
por: Su, Xiaoquan, et al.
Publicado: (2020) -
Hierarchical Meta-Storms enables comprehensive and rapid comparison of microbiome functional profiles on a large scale using hierarchical dissimilarity metrics and parallel computing
por: Zhang, Yufeng, et al.
Publicado: (2021) -
Using expected sequence features to improve basecalling accuracy of amplicon pyrosequencing data
por: Rask, Thomas S., et al.
Publicado: (2016) -
Comprehensive Assessment of 16S rRNA Gene Amplicon Sequencing for Microbiome Profiling across Multiple Habitats
por: Zhang, Wenke, et al.
Publicado: (2023)