Provides data about the possible adverse events/reactions
    resulting from being injected with a vaccine/experimental gene therapy.
    Currently, this data set only includes information from six reference
    sources. Refer to the CITATION.cff file for the complete citations of
    the reference sources. For information about vaccination$/immunization$
    hazards, visit <https://www.questionuniverse.com/rethink.html#vaccine>,
    <https://www.ecoccs.com/healing.html#vaccines>,
    <https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin>,
    and <https://www.questionuniverse.com/vaccination.html>.

Calculate statistical significance of Jaccard/Tanimoto similarity
    coefficients for binary data.

Schur polynomials appear in combinatorics and zonal
    polynomials appear in random matrix theory. They are particular cases
    of Jack polynomials. This package allows to compute these polynomials
    and other symmetric multivariate polynomials: flagged Schur
    polynomials, factorial Schur polynomials, t-Schur polynomials,
    Hall-Littlewood polynomials, Macdonald polynomials, and modified
    Macdonald polynomials. In addition, it can compute the Kostka-Jack
    numbers, the Kostka-Foulkes polynomials, the Kostka-Macdonald
    polynomials, and the Hall polynomials.  Mainly based on Demmel &
    Koev's paper (2006) <doi:10.1090/S0025-5718-05-01780-1> and
    Macdonald's book (1995) <doi:10.1093/oso/9780198534891.003.0001>.

Simply and efficiently
    simulates (i) variants from reference genomes and (ii) reads from both Illumina 
    <https://www.illumina.com/>
    and Pacific Biosciences (PacBio) <https://www.pacb.com/> platforms. 
    It can either read reference genomes from FASTA files or simulate new ones.
    Genomic variants can be simulated using summary statistics, phylogenies, 
    Variant Call Format (VCF) files, and coalescent simulations—the latter of which
    can include selection, recombination, and demographic fluctuations.
    'jackalope' can simulate single, paired-end, or mate-pair Illumina reads, 
    as well as PacBio reads.
    These simulations include sequencing errors, mapping qualities, multiplexing,
    and optical/polymerase chain reaction (PCR) duplicates.
    Simulating Illumina sequencing is based on ART
    by Huang et al. (2012) <doi:10.1093/bioinformatics/btr708>.
    PacBio sequencing simulation is based on 
    SimLoRD  by Stöcker et al. (2016) <doi:10.1093/bioinformatics/btw286>.
    All outputs can be written to standard file formats.