RASER

RASER aligns RNA-Seq reads to enable sensitive and accurate identification of single-nucleotide polymorphisms (SNPs) and RNA editing sites.

Key Features:

• Reduced false-positive mappings: Minimizes false-positive alignments in highly similar genomic regions to improve variant and editing-site predictions.
• Novel mapping schemes: Employs novel mapping schemes specifically tailored for SNP and RNA editing prediction.
• Index tree structure: Utilizes an innovative index tree structure to enhance alignment accuracy.
• High sensitivity for multiply mapped reads: Exhibits high sensitivity in identifying multiply mapped reads to address common challenges in variant detection.
• Unbiased alternative-allele mapping: Provides unbiased mapping of alternative alleles at SNPs.
• Precise RNA editing identification: Enables precise identification of RNA editing sites within complex genomic landscapes.
• Implemented in C++: Implemented in C++ to deliver robust performance and efficiency.
• Comparative mapping accuracy: Demonstrates superior mapping accuracy relative to popular existing aligners.

Scientific Applications:

• SNP detection from RNA-Seq: Identification and mapping of single-nucleotide polymorphisms from RNA-Seq data.
• RNA editing site detection: Precise detection of RNA editing sites using RNA-Seq reads.
• Variant detection in highly similar genomic regions: Accurate variant identification in paralogous or repetitive genomic regions.
• Unbiased alternative-allele mapping at SNPs: Mapping alternative alleles at SNPs without bias to support allele-specific analyses.
• Handling multiply mapped reads: Improved handling of multiply mapped reads to reduce mapping artifacts in variant and editing-site prediction.

Methodology:

Employs novel mapping schemes and an index tree structure for read alignment and is implemented in C++.