nonpareil

nonpareil estimates abundance-weighted average coverage and projects the additional sequencing effort required to capture microbial diversity from metagenomic datasets.

Key Features:

• Broad Applicability: Operates independently of comprehensive reference databases and OTU calling, enabling application across diverse metagenomic studies.
• Coverage Estimation: Estimates the abundance-weighted average coverage to quantify how sequencing depth captures microbial community diversity.
• Projection Capability: Projects metagenomic coverage to predict the amount of additional sequencing required to reach specified coverage targets.
• Complexity Assessment: Estimates relative microbiome complexity from existing metagenomic datasets across environments such as soil, freshwater, and human-associated communities.

Scientific Applications:

• Estimating sequencing requirements: Applied to metagenomic datasets to suggest approximately 200 gigabases (Gb) of sequencing are necessary to achieve 95% abundance-weighted average coverage of soil microbiome communities, informing planning of large-scale metagenomics projects and resource allocation.

Methodology:

Analyzes sequence depth distributions within metagenomic datasets to estimate the fraction of microbial diversity captured and to project additional sequencing required, without relying on high-quality assemblies or extensive reference databases.