doubletrouble

An R package to identify and classify duplicated genes from whole-genome protein sequence data

https://github.com/almeidasilvaf/doubletrouble

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An R package to identify and classify duplicated genes from whole-genome protein sequence data

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
    collapse = TRUE,
    comment = "#>",
    fig.path = "man/figures/README-",
    out.width = "100%"
)
```

# doubletrouble 


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[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
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[![Codecov test
coverage](https://codecov.io/gh/almeidasilvaf/doubletrouble/branch/devel/graph/badge.svg)](https://codecov.io/gh/almeidasilvaf/doubletrouble?branch=devel)


The major goal of __doubletrouble__ is to identify duplicated genes from
whole-genome protein sequences and classify them based on their modes
of duplication. Duplicates can be classified using four different 
classification schemes, which increase the complexity and level of details
in a stepwise manner. The classification schemes and the duplication modes
they can classify are:


| Scheme   | Duplication modes           |
|:---------|:----------------------------|
| binary   | SD, SSD                     |
| standard | SD, TD, PD, DD              |
| extended | SD, TD, PD, TRD, DD         |
| full     | SD, TD, PD, rTRD, dTRD, DD  |

*Legend:* **SD**, segmental duplication. **SSD**, small-scale duplication.
**TD**, tandem duplication. **PD**, proximal duplication. 
**TRD**, transposon-derived duplication. 
**rTRD**, retrotransposon-derived duplication.
**dTRD**, DNA transposon-derived duplication. **DD**, dispersed duplication.


Besides classifying gene pairs, users can also classify genes, so that
each gene is assigned to a unique mode of duplication.

Users can also calculate substitution rates per substitution site (i.e., 
$K_a$, $K_s$ and their ratios $\frac{K_a}{K_s}$) from duplicate pairs, 
find peaks in Ks distributions with Gaussian Mixture Models (GMMs), 
and classify gene pairs into age groups based on Ks peaks.

## Installation instructions

Get the latest stable `R` release from [CRAN](http://cran.r-project.org/). 
Then install __doubletrouble__ from [Bioconductor](http://bioconductor.org/) 
using the following code:

```{r 'install', eval = FALSE}
if (!requireNamespace("BiocManager", quietly = TRUE)) {
    install.packages("BiocManager")
}

BiocManager::install("doubletrouble")
```

And the development version from [GitHub](https://github.com/almeidasilvaf/doubletrouble) with:

```{r 'install_dev', eval = FALSE}
BiocManager::install("almeidasilvaf/doubletrouble")
```

## Citation

Below is the citation output from using `citation('doubletrouble')` in R. Please
run this yourself to check for any updates on how to cite __doubletrouble__.

```{r 'citation', eval = requireNamespace('doubletrouble')}
print(citation('doubletrouble'), bibtex = TRUE)
```

Please note that the __doubletrouble__ was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.

## Code of Conduct

Please note that the __doubletrouble__ project is released with 
a [Contributor Code of Conduct](http://bioconductor.org/about/code-of-conduct/). 
By contributing to this project, you agree to abide by its terms.

## Development tools

* Continuous code testing is possible thanks to [GitHub actions](https://www.tidyverse.org/blog/2020/04/usethis-1-6-0/)  through `r BiocStyle::CRANpkg('usethis')`, `r BiocStyle::CRANpkg('remotes')`, and `r BiocStyle::CRANpkg('rcmdcheck')` customized to use [Bioconductor's docker containers](https://www.bioconductor.org/help/docker/) and `r BiocStyle::Biocpkg('BiocCheck')`.
* Code coverage assessment is possible thanks to [codecov](https://codecov.io/gh) and `r BiocStyle::CRANpkg('covr')`.
* The [documentation website](http://almeidasilvaf.github.io/doubletrouble) is automatically updated thanks to `r BiocStyle::CRANpkg('pkgdown')`.
* The code is styled automatically thanks to `r BiocStyle::CRANpkg('styler')`.
* The documentation is formatted thanks to `r BiocStyle::CRANpkg('devtools')` and `r BiocStyle::CRANpkg('roxygen2')`.

For more details, check the `dev` directory.

This package was developed using `r BiocStyle::Biocpkg('biocthis')`.

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