micRocounter

micRocounter quantifies and characterizes microsatellites in genomic assemblies to support population genetics and evolutionary analyses.

Key Features:

• Microsatellite identification and quantification: Automated identification and quantification of microsatellite content within genome assemblies.
• C++-accelerated core: Computationally intensive algorithms are implemented in C++ to accelerate processing.
• High-speed processing: Reported up to a 200-fold improvement in speed compared to existing software.
• R integration: Results are returned as R objects for downstream manipulation and visualization.
• Scalable performance: Demonstrated processing of a ~500 Mb genome assembly in under 50 seconds.

Scientific Applications:

• Population Genetics: Quantification of microsatellite variation to study genetic diversity within populations.
• Evolutionary Biology: Analysis of microsatellite mutation rates and patterns to investigate evolutionary processes.

Methodology:

Automated analysis of genome assemblies to identify and quantify microsatellite content using optimized algorithms implemented in C++, with reported processing of a ~500 Mb assembly in under 50 seconds.