BCS2.0: Bacterial Pathogen and Antimicrobial Resistance Detection Data

A dataset describing the BCS2.0 capture sequencing platform for rapid differential diagnosis of bacterial infections and antimicrobial resistance. The data, authored by Amit Ranjan and last updated in April 2026, includes probe designs targeting 894 pathogenic bacterial species, virulence factors, and antimicrobial resistance genes. Performance validation results, such as a limit of detection of 5 colony-forming units per milliliter, are likely included.

Use Cases

• Benchmarking pathogen detection methods based on the described probe design covering 894 bacterial species.
• Analyzing antimicrobial resistance gene profiles based on targets from the Comprehensive Antibiotic Resistance Database.
• Evaluating diagnostic assay sensitivity and specificity based on reported limits of detection and concordance with MALDI-TOF results.
• Studying mixed infection detection capabilities based on the platform's validation with contrived and clinical samples.

Strengths

• Probe design is based on established, large-scale databases including MetaPhlAn4 (894 species), SILVA (1,325 species), VFDB, and CARD.
• Analytical validation reports a specific limit of detection of 5 colony-forming units per milliliter in plasma and urine.
• Results show concordance with established clinical identification methods like MALDI-TOF and BCID assays.

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 small (140.3 KB), indicating limited scope, likely containing summary or methodological data rather than raw sequencing reads.

Provenance

Source

figshare, author Amit Ranjan.

Collection Method

Probe design and analytical validation using contrived and clinical plasma and urine samples.

Time Range

Publication date is April 2026; specific data collection period is not stated.

Freshness

Last updated 2026-04-20 05:23:19; freshness should be verified.

Geography

Geographic coverage of clinical samples is not specified.