amplimap

amplimap processes targeted next-generation sequencing (NGS) data to generate read alignments, annotated variant calls, coverage statistics, variant allele counts and consensus sequences for PCR-based amplicons or capture-based enrichment experiments.

Key Features:

• Automated Data Processing: Transforms raw NGS reads into read alignments and annotated variant calls for targeted regions.
• Target Coverage Statistics: Computes detailed target base-pair coverage metrics for specified amplicons or capture regions.
• Variant Allele Quantification: Reports variant allele counts and frequencies at target sites.
• Consensus Base Calling with UMIs: Uses unique molecular identifiers (UMIs) to build read-family consensus calls and reduce sequencing errors.
• False-Positive Filtering: Implements filtering strategies to remove false positive variant calls arising from off-target amplification.
• Reproducible Outputs: Produces analysis outputs intended to support reproducibility of targeted sequencing experiments.

Scientific Applications:

• Cancer Genomics: Identifying mutations in oncogenes or tumor suppressor genes within targeted regions.
• Genetic Disease Research: Pinpointing pathogenic variants associated with inherited disorders in specific loci.
• Microbial Genomics: Characterizing genetic variation in microbial targets using targeted sequencing approaches.

Methodology:

Processes raw sequencing data through alignment to reference genomes, variant calling and annotation, calculation of coverage statistics and variant allele counts, consensus base calling using UMIs, false-positive filtering, and statistical analysis.