embeRNA: Benchmark and Soil Microbiome Functional Prediction Data

A 2026 dataset by Jia Liu for evaluating the embeRNA tool, containing 5,542 novel 16S rRNA sequences and predicted functional profiles from a soil microbiome study. The data includes benchmark sequences with less than 97% similarity to training references and statistically compared functional abundances across soil compartments. Files are provided in TSV and PDF formats under a CC-BY-4.0 license.

Use Cases

• Benchmarking novel microbe detection tools based on the 5,542-sequence set with <97% similarity to references.
• Analyzing soil microbiome functional differences between rhizosphere and bulk soil compartments based on predicted Fusion functions.
• Comparing functional abundance prediction methods (e.g., embeRNA vs. PICRUSt2) using the provided percentile rank plots for 21 soil samples.

Strengths

• Includes a benchmark set of 5,542 novel 16S rRNA sequences with defined similarity thresholds.
• Applies predictions to a real-world soil microbiome study (SRA project PRJNA434066) with statistical comparisons.
• Provides direct comparison data between embeRNA and PICRUSt2 predictions for 21 samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the main application dataset is unknown, which may limit suitability assessment.
• The 2.0 MB size indicates a small dataset, potentially limiting the scope of analysis.

Provenance

Source

Figshare deposit by author Jia Liu.

Collection Method

Benchmark sequences derived from novel assemblies; application data from predictions on a published soil microbiome study (PRJNA434066).

Time Range

The associated soil study was published in 2017.

Freshness

Last updated 2026-04-17 19:41:36.

Geography

Soil samples are from a wild blueberry habitat study, location not specified.