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DESCRIPTION
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DESCRIPTION
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Package: teamlahti
Title: AMR resistome data analysis with R/Bioconductor
Version: 0.0.1
Authors@R: c(person("Leo", "Lahti",
role = c("aut"),
email ="[email protected]",
comment = c(ORCID = "0000-0001-5537-637X")),
person("Muluh", "Geraldson",
email = "[email protected]",
role = c("aut", "cre"),
comment = c(ORCID = '0000-0002-9721-5192')),
person("Akewak", "Jeba",
email = "[email protected]",
role = c("aut"),
comment = c(ORCID = '0009-0007-1347-7552')),
person("Nitin", "Bayal",
email = "[email protected]",
role = c("aut"),
comment = c(ORCID = '0000-0002-4840-9898')),
person("Shivang", "Bhanushali",
email = "[email protected]",
role = c("aut"),
comment = c(ORCID = '0009-0007-8277-3662')),
person("Dattaray", "Mongad",
email = "[email protected]",
role = c("aut"),
comment = c(ORCID = '0000-0003-4801-7410')),
person("Mahkameh", "Salehi",
email = "[email protected]",
role = c("aut"),
comment = c(ORCID = '0009-0009-7153-226X'))
)
Description: Contains a reproducible tutorial on how to analyse and visualize
variation in a large resistome profiling data set and associate it
with various background factors by using the latest R/Bioconductor
methods.
License: Artistic-2.0
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends:
R (>= 4.0),
SummarizedExperiment,
SingleCellExperiment,
TreeSummarizedExperiment (>= 1.99.3),
URL: https://github.com/NCBI-Codeathons/amr-2024-team-lahti
BugReports: https://github.com/NCBI-Codeathons/amr-2024-team-lahti/issues
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr