Biocview "Metagenomics"

Accurate, high-resolution sample inference from amplicon sequencing data
Accurate, high-resolution sample inference from amplicon sequencing data
Accurate, high-resolution sample inference from amplicon sequencing data
A lecture on sequence count data
Analysis Of Differential Abundance Taking Sample Variation Into Account
Analysis Of Differential Abundance Taking Sample Variation Into Account
Analysis Of Differential Abundance Taking Sample Variation Into Account
An interface package for the BIOM file format
An interface package for the BIOM file format
An interface package for the BIOM file format
An interface package for the BIOM file format
Bayesian ANalysis Of Compositional Covariance
Bayesian ANalysis Of Compositional Covariance
Bayesian ANalysis Of Compositional Covariance
Bayesian ANalysis Of Compositional Covariance
ccrepe_and_nc.score
ccrepe_and_nc.score
Codon Usage Analysis and Prediction of Gene Expressivity
Codon Usage Analysis and Prediction of Gene Expressivity
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Exploration of marker-gene sequence taxonomic annotations
Exploration of marker-gene sequence taxonomic annotations
Exploration of marker-gene sequence taxonomic annotations
Fit row-column association models with the negative binomial distribution for the microbiome
Greengenes 13.8 85% similarity OTU threshold 16S rRNA Database Annotation Data
Greengenes 13.8 88% similarity OTU threshold 16S rRNA Database Annotation Data
Greengenes 13.8 91% similarity OTU threshold 16S rRNA Database Annotation Data
Greengenes 13.8 94% similarity OTU threshold 16S rRNA Database Annotation Data
Greengenes 13.8 97% similarity OTU threshold 16S rRNA Database Annotation Data
Handling and analysis of high-throughput microbiome census data
Handling and analysis of high-throughput microbiome census data
Handling and analysis of high-throughput microbiome census data
Identify Contaminants in Marker-gene and Metagenomics Sequencing Data
Identify Contaminants in Marker-gene and Metagenomics Sequencing Data
Maaslin
Mapping of Phyloseq Information
Metabarcoding and microbiome analysis using multiple amplicons
Microbiome Analytics
Microbiome Analytics
Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolite Profiles
Omics Data Integration Project
Omics Data Integration Project
PathoStat Statistical Microbiome Analysis Package
PathoStat Statistical Microbiome Analysis Package
PathoStat Statistical Microbiome Analysis Package
Phylogenetic partitioning based ILR transform for metagenomics data
Phylogenetic partitioning based ILR transform for metagenomics data
Phylogenetic partitioning based ILR transform for metagenomics data
Ribosomal Database Project 16S rRNA release 11.5 Annotation Data
R Interface to the metaviz web app for interactive metagenomics data analysis and visualization
R Interface to the metaviz web app for interactive metagenomics data analysis and visualization
R Interface to the metaviz web app for interactive metagenomics data analysis and visualization
R package to manage tree hierarchies
R package to manage tree hierarchies
SILVA SSR rRNA release 128.1 Annotation Data
SILVA SSR rRNA release 128.1 Annotation Data
SILVA SSR rRNA release 128.1 Annotation Data
Sparse Data Observations for Simulating Synthetic Abundance
Sparse Data Observations for Simulating Synthetic Abundance
Sparse Data Observations for Simulating Synthetic Abundance
Statistical analysis for sparse high-throughput sequencing
Statistical analysis for sparse high-throughput sequencing
Statistical analysis for sparse high-throughput sequencing
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Statistical Inference of Associations between Microbial Communities And host phenoTypes
Visual Exploration of Omic Datasets Using a Shiny App
Visual Exploration of Omic Datasets Using a Shiny App
Visual Exploration of Omic Datasets Using a Shiny App