Sprites

Sprites detects deletions in short-read next-generation sequencing (NGS) data by realigning soft-clipped reads to pinpoint deletions that include microhomologies and microinsertions, improving structural variation analysis in low-coverage datasets.

Key Features:

• Realignment of soft-clipped reads: Aligns entire soft-clipped reads rather than only clipped segments to improve breakpoint resolution.
• Target sequence from spanning reads: Constructs a target sequence derived from spanning reads for use in read realignment.
• Prefix/suffix matching: Identifies the longest prefix or suffix of a read that matches a reference segment to localize deletions.
• Detection of microhomologies and microinsertions: Specifically identifies deletions that contain microhomologies and microinsertions.
• Short-read NGS compatibility: Operates on next-generation sequencing short-read data and handles soft-clipping signals.
• Low-coverage optimization: Improves detection sensitivity for deletions arising in low-coverage sequencing datasets.
• Performance metrics: Demonstrates improved sensitivity and higher F-score for deletion detection compared with conventional methods.
• Empirical validation: Performance evaluated on both simulated and real datasets.

Scientific Applications:

• Structural variation analysis: Detection and characterization of deletions in structural variation (SV) studies.
• Genetic disease research: Identification of deletions implicated in genetic disorders, including events with microhomologies and microinsertions.
• Low-coverage sequencing studies: Improved variant discovery in low-coverage NGS datasets where conventional methods have reduced sensitivity.

Methodology:

Sprites aligns entire soft-clipped reads to a target sequence derived from spanning reads and determines the longest prefix or suffix of each read that matches the reference segment to identify deletions with microhomologies and microinsertions.