Metagenomics & Community Exploration
Some of the tools in KBase available for analyzing microbial communities and metagenomics
KBase has a multitude of Apps designed to analyze microbial communities and metagenomic reads data. They provide a way to understand the functional interactions between species in microbial communities. Annotated genomes extracted from metagenomic sequence libraries can be used for metabolic modeling, comparative phylogenomics, functional profiling, and more.
Metagenomic Read Analysis & Assembly
FastQC – Raw read quality control and analysis
Trim Reads with Trimmomatic – Read trimming and adaptor removal
Kaiju – Taxonomy assignment of raw metagenomic reads
MEGAHIT – Assemble large and complex metagenomic reads
MetaSPAdes – Assemble shotgun metagenomic reads
IDBA-UD – Assemble short metagenomic reads
Contig Binning, Optimization, and Quality Analysis
MaxBin2 – Group metagenomic contigs using depth-of-coverage, nucleotide composition, and marker genes
MetaBAT2 – Group metagenomic contigs using strain abundance and nucleotide composition
CONCOCT – Group metagenomic contigs using depth-of-coverage and nucleotide composition
DAS-Tool – Optimizes bacterial or archaeal genome bins using a de-replication, aggregation and scoring strategy
CheckM – Assess genome and MAG quality
Community Exploration
RAST for Multiple Microbial Genomes and Multiple Microbial Assemblies – Annotate multiple bacterial or archaeal genomes and assemblies or sets using RASTtk
Annotate and Distill Genomes with DRAM – Annotates Metagenome Assembled Genomes (MAGs) and provides an interactive functional summary per genome
VirSorter – Identify viral sequences from viral and microbial metagenomes
Classify Microbes with GTDB-Tk – Assign taxonomy to isolate and classify Metagenome Assembled Genomes (MAGs) using Genome Taxonomy Database (GTDB) genome taxonomy
ModelSEED – Generate and merge metabolic models from annotated genomes
Phylogenetic Pangenome Accumulation – Produce phylogenetic trees from annotated genomes
Metabolic modeling tools for microbial communities – analyze community metabolism
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