Simulated Illumina WGS Data for Transgenic Insertion Characterization

Simulated Illumina paired-end whole-genome sequencing data supports a methodological framework for characterizing transgenic DNA insertions. The 2.3 GB dataset includes FASTQ reads, reference sequences, and alignment files representing diverse transformation outcomes. Colton R. Kessenich published this resource on figshare in May 2026.

Use Cases

• Method validation based on simulated data representing single-copy inserts, multiple insertions, and structural rearrangements.
• Pedagogical tool development based on the resources provided to reproduce figures and examples from the associated publication.
• Algorithm benchmarking based on the included alignment files (BAM) and junction sequence alignments.

Strengths

• Dataset size is 2.3 GB, indicating substantial content.
• Includes multiple file formats (FASTQ, FASTA, BAM, BED) supporting different analysis stages.
• Covers diverse simulated transformation outcomes like backbone co-integration and contamination scenarios.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Data is simulated, which may not capture all complexities of real-world sequencing data.

Provenance

Source

figshare

Collection Method

Data was simulated using BBMap tools to represent various transformation outcomes.

Freshness

Last updated 2026-05-01 11:40:48; freshness should be verified.