Slider

Slider performs probabilistic alignment of Illumina Sequence Analyzer reads using base-call probability information from prb files to improve alignment and SNP prediction.

Key Features:

• Probabilistic Alignment: Uses base probability distributions from Illumina prb files to align reads based on probabilities rather than deterministic sequences.
• Enhanced Accuracy and Efficiency: Considers multiple probability scenarios per base to reduce mismatches and narrow the alignment search space, improving alignment accuracy and computational efficiency.
• Improved SNP Prediction: Predicts single nucleotide polymorphisms by incorporating base-call probability distributions instead of relying solely on the most probable sequence or base quality scores.

Scientific Applications:

• Genomic variant detection: Improves alignment and SNP calling for analyses of genetic variation from Illumina sequencing data.
• Disease association studies: Provides refined variant calls to support disease association analyses.
• Personalized medicine: Supports detection of individual-specific variants for personalized medicine applications.

Methodology:

Interprets Illumina prb files containing per-base probability distributions, processes those probabilities to perform alignments that account for base-call uncertainty, and applies the probabilistic alignment framework to improve SNP prediction while narrowing the alignment problem space and improving computational efficiency.