MOM

MOM implements a query-matching strategy to map short sequencing reads to reference sequences while accommodating user-defined sequencing error thresholds to improve mapping sensitivity and the proportion of uniquely aligned reads for downstream genomic analyses.

Key Features:

• Query Matching Approach: MOM identifies maximal-length matches within reads while adhering to user-defined error parameters, accommodating matches across the read rather than focusing mismatches near the 3' end.
• Error Tolerance: MOM tolerates multiple sequencing errors distributed across both 5' and 3' ends of reads instead of relying on 3' trimming or minimal 5' adjustments.
• Enhanced Sensitivity and Uniqueness: Comparative analyses report that MOM achieves greater sensitivity and maps a higher percentage of uniquely aligned reads compared with SOAP, MAQ, and SHRiMP.

Scientific Applications:

• Genome Assembly: Accurate mapping of short reads in regions with high sequence complexity or repetitive elements to support genome assembly.
• Variant Calling: Sensitive and uniquely mapped reads to support precise variant calling and identification of genetic mutations associated with disease.
• Transcriptome Analysis: Improved read mapping sensitivity in RNA sequencing studies to enable more reliable gene expression quantification.

Methodology:

MOM maximizes the length of matches within short reads while applying user-defined error thresholds to map reads with errors distributed across both ends, avoiding reliance on 3' end trimming.