MMR

MMR infers optimal mapping locations for multi-mapping sequencing reads by selecting sites based on local coverage density to improve transcript quantification accuracy.

Key Features:

• Optimal Mapping Inference: Infers optimal mapping locations based on the coverage density of other nearby mapped reads to disambiguate multiple potential alignments.
• Improved Downstream Analysis Performance: Enhances transcript quantification accuracy, reported as a 15% increase in Spearman correlation for reads of length 51.
• Efficiency in Data Handling: Reduces alignment file sizes by more than 50%, thereby decreasing running time for subsequent quantification steps.
• Post-processing on BAM alignments: Operates as a post-processing step on alignment files in BAM format.
• Scalability and Complexity: Exhibits algorithmic complexity that scales linearly with the number of alignments.

Scientific Applications:

• Transcript quantification: Improves transcript-level abundance estimates by resolving placements of multi-mapping reads.
• Differential expression analysis: Provides more reliable alignment-derived counts for differential expression studies by reducing multi-mapping ambiguity.
• Gene expression and regulatory mechanism studies: Supports analyses of gene expression patterns and regulatory mechanisms through more reliable alignment assignments.

Methodology:

Infers read mappings by evaluating local coverage density of nearby mapped reads, operates on BAM alignment files, and uses an algorithm whose complexity scales linearly with the number of alignments.