Imports: biomaRt, Biostrings, curl, tibble, jsonlite, data.table (>=

Author: Hajk-Georg Drost [aut, cre] (http://orcid.org/0000-0002-1567-306X)

Description: Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized
way to automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and metagenome
retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', 'ENSEMBLGENOMES',
and 'UniProt' databases. Furthermore, an interface to the 'BioMart' database
functional annotation for genomic loci. In addition, users can download entire databases such
'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. as
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)

stringr (>= 0.6.2), purrr, R.utils, philentropy, fs

stringr (>= 0.6.2), purrr, R.utils, philentropy, fs (>= 1.3.1)

retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL',
'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. with only one command.
stringr (>= 0.6.2), purrr, R.utils, philentropy, withr, fs

Title: Functions to Assist Design and Analysis of Agronomic Experiments
person(given = "University of Adelaide",
person(given = "Grains Research and Development Corporation",
Description: Provides functions to aid in the design and analysis of
agronomic and agricultural experiments through easy access to
documentation and helper functions, especially for users who are
Imports: agricolae, cowplot, curl, ellipsis, farver, ggplot2, interp,
lattice, multcompView, predictmeans, rlang, scales, stringi,
Suggests: covr, crayon, mockery, testthat, vdiffr
University of Adelaide [cph, fnd] (https://adelaide.edu.au/),
Grains Research and Development Corporation [cph, fnd]

Imports: agricolae, cowplot, curl, farver, ggplot2, interp, lattice,
multcompView, predictmeans, rlang, scales, stringi, withr
Suggests: covr, crayon, getPass, mockery, testthat, vdiffr

learning these concepts. While not required for most functionality,
this package enhances the `asreml` package which provides a
computationally efficient algorithm for fitting mixed models
using Residual Maximum Likelihood. It is a commercial package
that can be purchased as 'asreml-R' from 'VSNi'
<https://vsni.co.uk/>, who will supply a zip file for local
Imports: agricolae, cowplot, curl, farver, ggplot2, lattice,
multcompView, pracma, predictmeans, rlang (>= 1.0.0), scales,
Enhances: asreml, ARTool, lme4, nlme, sommer