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Related Concept Videos

Interval and Radius of Convergence01:29

Interval and Radius of Convergence

A power series is a mathematical representation of a function as an infinite sum of terms involving powers of a variable. Such series converge only for specific input values, making it essential to determine the range over which the series produces valid results. This leads to the concepts of radius and interval of convergence, which define where the series behaves meaningfully.The radius of convergence describes the distance from the center within which the power series converges. For a...
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Updated: Jun 23, 2026

Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors
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RERconverge Update: Runtime Reduction and Analysis Function Overhaul.

Guillermo L Hoffmann, Emily E K Kopania, Michael Tene

    Biorxiv : the Preprint Server for Biology
    |June 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    RERconverge, an R package for analyzing convergent evolution, now offers faster, scalable algorithms for large genomic datasets. This update enhances the ability to link gene evolutionary rates to specific traits and selective pressures.

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    Area of Science:

    • Evolutionary biology
    • Genomics
    • Bioinformatics

    Background:

    • Convergent evolution studies genomic changes underlying similar traits in different species.
    • RERconverge identifies genomic regions associated with phenotypes by analyzing gene relative evolutionary rates (RERs).

    Purpose of the Study:

    • To update the RERconverge R package with improved algorithms and new analytical features.
    • To enhance the package's capability to process larger genomic datasets and analyze evolutionary rates.

    Main Methods:

    • The RERconverge pipeline was optimized for speed and scalability.
    • New customizable analysis options and statistical methods for outlier control were implemented.

    Main Results:

    • Core functions were significantly accelerated, achieving speedups of up to 28.6x.
    • The package now supports larger genomic datasets and offers expanded analytical methods for phenotype-RER association testing.

    Conclusions:

    • The updated RERconverge package provides a more efficient and powerful tool for studying the genomic basis of convergent evolution.
    • Enhanced scalability and analytical options facilitate research with increasingly large genomic datasets.