Illuminator

Illuminator identifies genetic variants in Illumina short read sequencing data to detect single nucleotide polymorphisms (SNPs), insertions, and deletions in clonal DNA populations for diagnostic and targeted resequencing applications.

Key Features:

• Variant Identification: Detects rare sequence variants including single nucleotide polymorphisms (SNPs), insertions, and deletions.
• Barcode Tagging and Pooling Analysis: Resolves pooled samples carrying barcode tags to enable simultaneous analysis of multiple subjects.
• Mutation-Tolerant Alignment: Employs a mutation-tolerant alignment process to align reads to a reference sequence even when mutations are present.
• Sample Tagging/Indexing Support: Integrates sample tagging/indexing techniques to manage and analyze multiple samples concurrently.
• Optimized for Illumina Short Reads: Processes Illumina short reads typically shorter than 100 nucleotides.
• High-Throughput Dataset Processing: Handles large sequencing datasets generated from clonal populations of DNA molecules.

Scientific Applications:

• Diagnostic Mutation Analysis: Identifies rare variants to support diagnosis of genetic disorders.
• Candidate Gene Testing: Supports investigation of specific genes associated with traits or diseases.
• Targeted Resequencing: Enables parallel resequencing of smaller target regions such as gene-sized areas.
• Genome Resequencing: Applicable to extensive genome resequencing studies using Illumina short reads.
• Transcriptome Analysis: Applicable to transcriptome analysis with Illumina short read data.

Methodology:

Uses mutation-tolerant alignment and integration of sample tagging/indexing (barcodes) to resolve pooled samples and analyze Illumina short reads (<100 nt).