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Related Experiment Video

Updated: Jan 21, 2026

Assembly and Characterization of Polyelectrolyte Complex Micelles

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

micRocounter: Microsatellite Characterization in Genome Assemblies.

Johnathan Lo¹, Michelle M Jonika¹, Heath Blackmon²

¹Department of Biology; Texas A&M University; College Station, TX 77843.

G3 (Bethesda, Md.)

|August 4, 2019

Summary

This summary is machine-generated.

We developed micRocounter, an R package for fast microsatellite quantification. This tool significantly speeds up the analysis of large genomic datasets, aiding population genetics and evolutionary biology research.

Keywords:

genome analysis genomics microsatellite repetitive sequences

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Microsatellites are repetitive DNA sequences crucial for population genetics and evolutionary biology.
The increasing availability of genome assemblies necessitates efficient analytical tools.
R is a popular software environment for biological data analysis, highlighting the need for R packages.

Purpose of the Study:

To develop an R package named micRocounter for the quantification of microsatellites.
To optimize the package for speed, accessibility, and portability for large-scale genomic data analysis.
To provide a flexible and user-friendly tool for biologists analyzing microsatellite data.

Main Methods:

Developed micRocounter as an R package.
Implemented computationally intensive algorithms in C++ for enhanced performance.
Optimized for speed, accessibility, and portability.

Main Results:

Achieved a 200-fold speed improvement over existing software.
Capable of processing a 500 Mb genome in under 50 seconds.
Results are output as R objects for increased flexibility and accessibility.

Conclusions:

micRocounter offers a highly efficient solution for microsatellite quantification.
The package facilitates automated analysis of large genomic datasets.
Provides a valuable tool for researchers in population genetics, evolutionary biology, and genomics.