Mouse Oral Microbial Taxonomy

NIAID Data Ecosystem2026-03-12 收录

鼠口腔微生物组

16SrRNA扩增子分析

数据链接：

https://figshare.com/articles/dataset/Mouse_Oral_Microbial_Taxonomy/12601901 数据链接链接失效反馈

官方服务：

资源简介：

Reference datasets for 16S rRNA gene amplicon sequencing analysis using the mothur and DADA2 pipelines for the murine oral bacterial community

创建时间：

2020-11-25

Comparison of Nanopore and Illumina 16S rRNA gene amplicon sequencing. Nanopore is preferable over Illumina for 16S amplicon sequencing when species-level taxonomic classification, accurate estimation of richness, or focus on rare taxa is required

微生物组测序比较

16SrRNA扩增子分析

A mock community and six faecal samples were subjected to 16S rRNA gene amplicon sequencing with Nanopore GridION and Illumina NovaSeq 6000. Each sample was sequenced in three replicates with both seq

NIAID Data Ecosystem80

Table_1_Comparison of Bioinformatics Pipelines and Operating Systems for the Analyses of 16S rRNA Gene Amplicon Sequences in Human Fecal Samples.xlsx

16SrRNA扩增子分析

生物信息学流程比较

Amplicon high-throughput sequencing of 16S ribosomal RNA (rRNA) gene is currently the most widely used technique to investigate complex gut microbial communities. Microbial identification might be inf

NIAID Data Ecosystem70

Additional file 4: Figure S3. of Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies

微生物组数据基准测试

16SrRNA扩增子分析

A. Area under the curve distributions for multiplicative spike-ins in dataset A1. Violin plot of distributions of area under the receiver operating characteristic curve (AUC) for spiked vs non-spiked

NIAID Data Ecosystem30

Groundwater microbiome 16S rRNA gene sequences

水生微生物组

16SrRNA扩增子分析

16S rRNA gene amplicon sequences of the groundwater microbiome

NIAID Data Ecosystem80

16S amplicons of marine solar saltern sediments from Weihai coast, Shandong Province, PR China

盐湖微生物群落

16SrRNA扩增子分析

Bacterial 16S rRNA gene fragments (V3-V4) were amplified from the extracted DNA using primers 338F (5'-ACTCCTACGGGAGGCAGCAG-3') and 806R(5'-GGACTACHVGGGTWTCTAAT-3').

NIAID Data Ecosystem30

Mouse Oral Microbial Taxonomy

资源简介：

相关数据集