Cargando…

Incorporation of Data From Multiple Hypervariable Regions when Analyzing Bacterial 16S rRNA Gene Sequencing Data

Short read 16 S rRNA amplicon sequencing is a common technique used in microbiome research. However, inaccuracies in estimated bacterial community composition can occur due to amplification bias of the targeted hypervariable region. A potential solution is to sequence and assess multiple hypervariab...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jones, Carli B., White, James R., Ernst, Sarah E., Sfanos, Karen S., Peiffer, Lauren B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009396/ https://www.ncbi.nlm.nih.gov/pubmed/35432480 http://dx.doi.org/10.3389/fgene.2022.799615

Ejemplares similares

Influence of 16S rRNA Hypervariable Region on Estimates of Bacterial Diversity and Community Composition in Seawater and Marine Sediment
por: Kerrigan, Zak, et al.
Publicado: (2019)

Robust Computational Analysis of rRNA Hypervariable Tag Datasets
por: Sipos, Maksim, et al.
Publicado: (2010)

Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis
por: Yang, Bo, et al.
Publicado: (2016)

Analysis of the Cystic Fibrosis Lung Microbiota via Serial Illumina Sequencing of Bacterial 16S rRNA Hypervariable Regions
por: Maughan, Heather, et al.
Publicado: (2012)

Microbial Diversity Profiling of Gut Microbiota of Macropus giganteus Using Three Hypervariable Regions of the Bacterial 16S rRNA
por: O’Dea, Christian, et al.
Publicado: (2021)

Impact of Preservation Method and 16S rRNA Hypervariable Region on Gut Microbiota Profiling
por: Chen, Zigui, et al.
Publicado: (2019)

Phylogenies of the 16S rRNA gene and its hypervariable regions lack concordance with core genome phylogenies
por: Hassler, Hayley B., et al.
Publicado: (2022)

Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing
por: Dias, Victor H. G., et al.
Publicado: (2020)

Taxonomic Precision of Different Hypervariable Regions of 16S rRNA Gene and Annotation Methods for Functional Bacterial Groups in Biological Wastewater Treatment
por: Guo, Feng, et al.
Publicado: (2013)

16S Classifier: A Tool for Fast and Accurate Taxonomic Classification of 16S rRNA Hypervariable Regions in Metagenomic Datasets
por: Chaudhary, Nikhil, et al.
Publicado: (2015)

Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples
por: Barb, Jennifer J., et al.
Publicado: (2016)

Impact of DNA extraction method and targeted 16S-rRNA hypervariable region on oral microbiota profiling
por: Teng, Fei, et al.
Publicado: (2018)

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples
por: López-Aladid, Ruben, et al.
Publicado: (2023)

The Process of Analyzing Data is the Emergent Feature of Data Science
por: Emmert-Streib, Frank, et al.
Publicado: (2016)

Analysis of the Bacterial Communities in Two Liquors of Soy Sauce Aroma as Revealed by High-Throughput Sequencing of the 16S rRNA V4 Hypervariable Region
por: Tang, Jing, et al.
Publicado: (2017)

New germline mutations in the hypervariable minisatellite CEB1 in the parents of children with leukaemia
por: Davies, B G, et al.
Publicado: (2007)

Use of 16s rRNA Gene Sequencing for the Identification of Viridans Group Streptococci
por: Menon, Thangam, et al.
Publicado: (2023)

Best practices for generating and analyzing 16S rRNA amplicon data to track coral microbiome dynamics
por: Silva, Denise P., et al.
Publicado: (2023)

Genotyping strategy matters when analyzing hypervariable major histocompatibility complex‐Experience from a passerine bird
por: Rekdal, Silje L., et al.
Publicado: (2018)

16S rRNA metagenomics data on the bacterial communities in integrated poultry-fish farm ponds
por: Akinde, Sunday B., et al.
Publicado: (2022)

16S rRNA nanopore sequencing for the diagnosis of ocular infection: a feasibility study
por: Omi, Masatoshi, et al.
Publicado: (2022)

16S rRNA metagenomic data of microbial diversity of Pheidole decarinata Santschi (Hymenoptera: Formicidae) workers
por: Ashigar, Mohammed Ahmed, et al.
Publicado: (2020)

Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
por: Buettner, Christian, et al.
Publicado: (2018)

Meta-Analyzing Multiple Omics Data With Robust Variable Selection
por: Hu, Zongliang, et al.
Publicado: (2021)

Editorial: Computational methods to analyze RNA data for human diseases
por: Ding, Pingjian, et al.
Publicado: (2023)

Composition of gastrointestinal microbiota in association with treatment response in individuals with metastatic castrate resistant prostate cancer progressing on enzalutamide and initiating treatment with anti-PD-1 (pembrolizumab)
por: Peiffer, Lauren B., et al.
Publicado: (2022)

Data on haplotype diversity in the hypervariable region I, II and III of mtDNA amongst the Brahmin population of Haryana
por: Verma, Kapil, et al.
Publicado: (2018)

Alterations in Gut Microbiota Composition in Patients with COVID-19: A Pilot Study of Whole Hypervariable 16S rRNA Gene Sequencing
por: Mańkowska-Wierzbicka, Dorota, et al.
Publicado: (2023)

Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing
por: Huse, Susan M., et al.
Publicado: (2008)

The Analysis of Gene Expression Data Incorporating Tumor Purity Information
por: Ahn, Seungjun, et al.
Publicado: (2021)

Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
por: Sonthiphand, Prinpida, et al.
Publicado: (2021)

A Multi-Marker Test for Analyzing Paired Genetic Data in Transplantation
por: Arthur, Victoria L., et al.
Publicado: (2021)

Visual Genomics Analysis Studio as a Tool to Analyze Multiomic Data
por: Hertzman, Rebecca J., et al.
Publicado: (2021)

Editorial: Statistical methods for analyzing multiple environmental quantitative genomic data
por: Li, Zitong, et al.
Publicado: (2023)

16S rRNA gene amplicon sequence data from sunflower endosphere bacterial community
por: Babalola, Olubukola Oluranti, et al.
Publicado: (2021)

Reconstructing 16S rRNA genes in metagenomic data
por: Yuan, Cheng, et al.
Publicado: (2015)

Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
por: Costantini, Lara, et al.
Publicado: (2018)

Correction: Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing
por: Huse, Susan M., et al.
Publicado: (2008)

Increased Frequency of Indels in Hypervariable Regions of SARS-CoV-2 Proteins—A Possible Signature of Adaptive Selection
por: Alisoltani, Arghavan, et al.
Publicado: (2022)

Employing MCMC under the PPL framework to analyze sequence data in large pedigrees
por: Huang, Yungui, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_9ulitrndliu6c6v7aouh61n776