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Signed-off-by: Daena Rys <[email protected]>
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Package: teamlahti | ||
Title: What the Package Does (One Line, Title Case) | ||
Title: Resistome data analysis | ||
Version: 0.0.0.9000 | ||
Authors@R: | ||
person("First", "Last", , "[email protected]", role = c("aut", "cre"), | ||
Authors@R: | ||
person("Team", "Lahti", , "[email protected]", role = c("aut", "cre"), | ||
comment = c(ORCID = "YOUR-ORCID-ID")) | ||
Description: What the package does (one paragraph). | ||
License: MIT + file LICENSE | ||
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: MIT | ||
Encoding: UTF-8 | ||
Roxygen: list(markdown = TRUE) | ||
RoxygenNote: 7.3.2 | ||
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# Team Project Name | ||
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List of participants and affiliations: | ||
- Participant, Affiliation (Team Leader) | ||
- Participant, Affiliation | ||
<!-- README.md is generated from README.Rmd. Please edit that file --> | ||
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## Project Goals | ||
# teamlahti | ||
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## Approach | ||
<!-- badges: start --> | ||
<!-- badges: end --> | ||
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## Results | ||
The goal of teamlahti is to … | ||
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## Future Work | ||
## Installation | ||
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## NCBI Codeathon Disclaimer | ||
This software was created as part of an NCBI codeathon, a hackathon-style event focused on rapid innovation. While we encourage you to explore and adapt this code, please be aware that NCBI does not provide ongoing support for it. | ||
You can install the development version of teamlahti from | ||
[GitHub](https://github.com/) with: | ||
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For general questions about NCBI software and tools, please visit: [NCBI Contact Page](https://www.ncbi.nlm.nih.gov/home/about/contact/) | ||
``` r | ||
# install.packages("pak") | ||
pak::pak("NCBI-Codeathons/amr-2024-team-lahti") | ||
``` | ||
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## Example | ||
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This is a basic example which shows you how to solve a common problem: | ||
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``` r | ||
# library(teamlahti) | ||
## basic example code | ||
``` | ||
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What is special about using `README.Rmd` instead of just `README.md`? | ||
You can include R chunks like so: | ||
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``` r | ||
summary(cars) | ||
#> speed dist | ||
#> Min. : 4.0 Min. : 2.00 | ||
#> 1st Qu.:12.0 1st Qu.: 26.00 | ||
#> Median :15.0 Median : 36.00 | ||
#> Mean :15.4 Mean : 42.98 | ||
#> 3rd Qu.:19.0 3rd Qu.: 56.00 | ||
#> Max. :25.0 Max. :120.00 | ||
``` | ||
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You’ll still need to render `README.Rmd` regularly, to keep `README.md` | ||
up-to-date. `devtools::build_readme()` is handy for this. | ||
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You can also embed plots, for example: | ||
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<img src="man/figures/README-pressure-1.png" width="100%" /> | ||
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In that case, don’t forget to commit and push the resulting figure | ||
files, so they display on GitHub and CRAN. |
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