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RESCRIPt: Reproducible sequence taxonomy reference database management |  PLOS Computational Biology
RESCRIPt: Reproducible sequence taxonomy reference database management | PLOS Computational Biology

Silva
Silva

download and setup 16S SILVA DATABASE FOR KRAKEN CLASSIFICATION - YouTube
download and setup 16S SILVA DATABASE FOR KRAKEN CLASSIFICATION - YouTube

Comparing 16S databases
Comparing 16S databases

A) Bayesian 16S rRNA gene tree built using the ARB-Silva.de SSU rRNA... |  Download Scientific Diagram
A) Bayesian 16S rRNA gene tree built using the ARB-Silva.de SSU rRNA... | Download Scientific Diagram

Silva
Silva

Difference between the SILVA and GreenGene Files - User Support - QIIME 2  Forum
Difference between the SILVA and GreenGene Files - User Support - QIIME 2 Forum

Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and  effects of using different 16S variable regions on community structure  analysis - Klemetsen - 2019 - MicrobiologyOpen - Wiley Online Library
Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis - Klemetsen - 2019 - MicrobiologyOpen - Wiley Online Library

SEED2 - TUTORIAL - SILVA 16S REFERENCE - Create local database for BLAST -  YouTube
SEED2 - TUTORIAL - SILVA 16S REFERENCE - Create local database for BLAST - YouTube

Frontiers | Data-Driven Modeling for Species-Level Taxonomic Assignment  From 16S rRNA: Application to Human Microbiomes
Frontiers | Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes

Cydrasil 3, a curated 16S rRNA gene reference package and web app for  cyanobacterial phylogenetic placement | Scientific Data
Cydrasil 3, a curated 16S rRNA gene reference package and web app for cyanobacterial phylogenetic placement | Scientific Data

IJMS | Free Full-Text | Targeting the 16S rRNA Gene for Bacterial  Identification in Complex Mixed Samples: Comparative Evaluation of Second  (Illumina) and Third (Oxford Nanopore Technologies) Generation Sequencing  Technologies
IJMS | Free Full-Text | Targeting the 16S rRNA Gene for Bacterial Identification in Complex Mixed Samples: Comparative Evaluation of Second (Illumina) and Third (Oxford Nanopore Technologies) Generation Sequencing Technologies

25 years of serving the community with ribosomal RNA gene reference  databases and tools - ScienceDirect
25 years of serving the community with ribosomal RNA gene reference databases and tools - ScienceDirect

High quality 16S rRNA sequences were downloaded from the SILVA database...  | Download Scientific Diagram
High quality 16S rRNA sequences were downloaded from the SILVA database... | Download Scientific Diagram

Generation of Comprehensive Ecosystem-Specific Reference Databases with  Species-Level Resolution by High-Throughput Full-Length 16S rRNA Gene  Sequencing and Automated Taxonomy Assignment (AutoTax) | mBio
Generation of Comprehensive Ecosystem-Specific Reference Databases with Species-Level Resolution by High-Throughput Full-Length 16S rRNA Gene Sequencing and Automated Taxonomy Assignment (AutoTax) | mBio

The effect of taxonomic classification by full-length 16S rRNA sequencing  with a synthetic long-read technology | Scientific Reports
The effect of taxonomic classification by full-length 16S rRNA sequencing with a synthetic long-read technology | Scientific Reports

16S rRNA gene sequence phylogenetic tree assigned by the SILVA... |  Download Scientific Diagram
16S rRNA gene sequence phylogenetic tree assigned by the SILVA... | Download Scientific Diagram

The workflow of this study. (A) The taxonomy of 16S rRNA sequences in... |  Download Scientific Diagram
The workflow of this study. (A) The taxonomy of 16S rRNA sequences in... | Download Scientific Diagram

GitHub - anweshmaile/silva-138_classifiers: Classifiers trained on  different variable regions of Prokaryotic 16S rRNA genes
GitHub - anweshmaile/silva-138_classifiers: Classifiers trained on different variable regions of Prokaryotic 16S rRNA genes

Generation of Comprehensive Ecosystem-Specific Reference Databases with  Species-Level Resolution by High-Throughput Full-Length 16S rRNA Gene  Sequencing and Automated Taxonomy Assignment (AutoTax) | mBio
Generation of Comprehensive Ecosystem-Specific Reference Databases with Species-Level Resolution by High-Throughput Full-Length 16S rRNA Gene Sequencing and Automated Taxonomy Assignment (AutoTax) | mBio