Calculate, plot and animate the configuration of Jupiter's four
    largest satellites (known as Galilean satellites) for a given date and time
    (UTC - Coordinated Universal Time).
    The galsat() function returns numerical values of the satellites’ positions.
    x – the apparent rectangular coordinate of the satellite with respect to the
    center of Jupiter’s disk in the equatorial plane in the units of Jupiter’s
    equatorial radius; X is positive toward the west,
    y – the apparent rectangular coordinate of the satellite with respect to the
    center of Jupiter’s disk from the equatorial plane in the units of Jupiter’s
    equatorial radius; Y is positive toward the north.
    For more details see Meeus (1988, ISBN 0-943396-22-0) "Astronomical Formulae
    for Calculators".
    The galsat_animate() function creates an animation of the Galilean
    satellites' positions. You provide the starting time, duration, the time
    step between frames, and the pause between frames.
    The function delta_t() returns the value of delta-T in units of seconds.

Generates a variety of structured test matrices commonly used in numerical linear algebra and computational experiments. Includes well-known matrices for benchmarking and testing the performance, stability, and accuracy of linear algebra algorithms. Inspired by 'MATLAB' 'gallery' functions.

The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.