TIDDIT

TIDDIT detects structural variants in massive parallel sequencing data to identify large-scale chromosomal rearrangements (>1,000 base pairs) relevant to genetic disorders.

Key Features:

• Comprehensive detection: Detects a wide spectrum of structural variants including intra-chromosomal translocations, deletions, tandem duplications, inversions, and inter-chromosomal rearrangements.
• Size range: Targets large-scale structural variants greater than 1,000 base pairs.
• Input sequencing data: Leverages Mate Pair and Paired End sequencing data from massive parallel sequencing such as Whole Genome Sequencing (WGS).
• Signal utilization: Analyzes discordant pairs and supplementary alignments to identify SV breakpoints.
• Artifact discrimination: Distinguishes genuine SVs from artifacts caused by reference genome errors and benign polymorphisms.
• Computational efficiency: Operates with low computational cost suitable for WGS-scale datasets.

Scientific Applications:

• Genomic research: Facilitates discovery and characterization of large structural variants that contribute to rare and common genetic disorders.
• Clinical genomics: Supports detection of clinically relevant large SVs in diagnostic workflows while highlighting challenges in distinguishing pathogenic from benign variants.

Methodology:

Analyzes sequencing data by focusing on discordant pairs and supplementary alignments to identify structural variation breakpoints and to separate genuine SVs from artifacts caused by reference genome errors or benign polymorphisms.