BCS2.0: Bacterial Species and AMR Gene Detection Results from Clinical Samples

A 26.3 KB Excel file published on figshare by Amit Ranjan on April 20, 2026. The dataset likely contains results from the BCS2.0 capture sequencing platform, designed for the rapid differential diagnosis of bacterial infections and antimicrobial resistance. It appears to include performance measures from analytical validation using contrived and clinical plasma and urine samples.

Use Cases

• Benchmarking rapid diagnostic platforms based on reported limits of detection and assay reproducibility.
• Analyzing concordance between sequencing results and traditional methods like MALDI-TOF and BCID assays.
• Studying mixed infection detection capabilities based on the described probe design covering pathogenic species.

Strengths

• Probe design covers 894 known or potential pathogenic bacterial species from the MetaPhlAn4 database.
• Analytical validation reported a limit of detection of 5 colony-forming units per milliliter.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (26.3 KB), suggesting limited scope or summary-level results.

Provenance

Source

figshare, author Amit Ranjan.

Collection Method

Likely contains results from probe-based capture sequencing and validation against clinical samples and reference methods.

Time Range

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Freshness

Last updated 2026-04-20 05:23:14; freshness should be verified.

Geography

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