CAMISIM

CAMISIM simulates microbial community abundance distributions and corresponding shotgun metagenome datasets to generate benchmark data for evaluating metagenomic analysis methods.

Key Features:

• Microbial Abundance Profiles: Models various microbial abundance profiles to represent different biological scenarios and experimental designs.
• Multi-sample Time Series and Differential Studies: Simulates multi-sample time series and differential abundance studies to capture temporal and condition-specific variation.
• Strain-level Diversity: Incorporates both real and simulated strain-level diversity to increase dataset realism.
• Sequencing Data Simulation: Generates second- and third-generation sequencing data from taxonomic profiles or de novo.
• Gold Standards Creation: Produces gold standards for sequence assembly, genome binning, taxonomic binning, and taxonomic profiling.

Scientific Applications:

• Benchmarking Metagenomic Software: Provides benchmark datasets used in the CAMI challenge to assess metagenome analysis tools.
• Functional Congruence Studies: Produces simulated multi-sample human and mouse gut microbiome datasets that demonstrate high functional congruence with real data.
• Impact Analysis on Assemblers: Enables investigation of effects of evolutionary genome divergence, sequencing depth, and read error profiles on assemblers such as MEGAHIT and metaSPAdes.

Methodology:

Simulates microbial communities and metagenome datasets by modeling natural biological variation and differences in laboratory protocols, replicate numbers, and sequencing technologies; generates reads from taxonomic profiles or de novo; incorporates real and simulated strain-level diversity; and outputs gold standards for assembly, genome binning, taxonomic binning, and taxonomic profiling.