HyINDEL

HyINDEL detects insertions and deletions (INDELs) in next-generation sequencing (NGS) data to identify and characterize structural variation across small to large sizes, including insertion sequences.

Key Features:

• Hybrid detection strategy: Integrates clustering, split-mapping, and assembly-based techniques for INDEL discovery.
• Discordant and soft-clip read clustering: Identifies clusters of discordant and soft-clipped reads to generate candidate INDELs.
• Soft-clip alignment validation: Aligns soft-clip reads to provide breakpoint support and validate candidate variants.
• Depth-of-coverage validation: Uses depth-of-coverage analysis to corroborate candidate INDELs.
• Assembly-based insertion reconstruction: Performs assembly-based analysis to reconstruct and identify insertion sequences.
• Size-range sensitivity: Detects INDELs across a broad spectrum of sizes from small to large.
• Performance metrics: Demonstrated improved recall and F-score on simulated and real datasets.

Scientific Applications:

• Structural variation analysis in human genomes: Identification and characterization of INDELs implicated in human traits and diseases.
• Rare disease variant discovery: Detection of insertion and deletion events relevant to rare genetic disorders.
• Cancer genomics: Detection and breakpoint support for somatic INDELs in cancer studies.
• Benchmarking and evaluation: Comparative performance assessment on simulated and real sequencing datasets.

Methodology:

Integrates clustering, split-mapping, and assembly-based approaches by identifying clusters of discordant and soft-clipped reads, validating candidates with depth-of-coverage and soft-clip read alignments, and assembling insertion sequences.