Barcode and UMI Sequencing Data for Rabies Virus Analysis

1 million reads were subsampled from NovaSeq S4 paired-end 150 bp sequencing data to demonstrate the extraction of randomer sequences. This dataset contains barcode sequences from rabies virus or spike-in control RNA in Read 1, with region index and UMI sequences in Read 2. Kang Tan created this resource to illustrate pattern alignment from raw FASTQ files, last updated in April 2026.

Use Cases

• Develop a model to classify barcode sequences as originating from rabies virus or spike-in control RNA using features from Read 1.
• Cluster or deduplicate sequencing reads based on the UMI sequences contained in Read 2.
• Validate sequence alignment algorithms against the provided region index data in Read 2.
• Benchmark the performance of randomer extraction scripts on the subsampled 1 million read pairs.

Strengths

• Contains 1 million subsampled sequencing reads for manageable analysis.
• Data is paired-end, providing complementary Read 1 and Read 2 sequences for each fragment.
• Includes a demonstration notebook (IPYNB) showing specific processing steps.

Limitations

• The 68.7 MB size indicates a small, demonstration-scale dataset unsuitable for training large models.
• Data is subsampled, not a complete sequencing run, which may limit statistical power.
• Specific row counts and column names for structured data are unknown.

Provenance

Source

Author Kang Tan on figshare.

Collection Method

Generated from NovaSeq S4 sequencing and subsampled for demonstration.

Freshness

Last updated April 2026.