syntenet

An R package to infer and analyze synteny networks from protein sequences

https://github.com/almeidasilvaf/syntenet

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.2%) to scientific vocabulary

Keywords

comparative-genomics evolutionary-genomics network-science phylogenomics rstats synteny synteny-network

Keywords from Contributors

bioconductor-packages gene grna-sequence immune-repertoire bioinformatics genomics sequencing ontologies
Last synced: 6 months ago · JSON representation

Repository

An R package to infer and analyze synteny networks from protein sequences

Basic Info
Statistics
  • Stars: 30
  • Watchers: 3
  • Forks: 6
  • Open Issues: 0
  • Releases: 0
Topics
comparative-genomics evolutionary-genomics network-science phylogenomics rstats synteny synteny-network
Created almost 4 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog Code of conduct Support

README.Rmd

---
output: github_document
---



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

# syntenet 


[![GitHub issues](https://img.shields.io/github/issues/almeidasilvaf/syntenet)](https://github.com/almeidasilvaf/syntenet/issues)
[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![R-CMD-check-bioc](https://github.com/almeidasilvaf/syntenet/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/almeidasilvaf/syntenet/actions)
[![Codecov test
coverage](https://codecov.io/gh/almeidasilvaf/syntenet/branch/devel/graph/badge.svg)](https://codecov.io/gh/almeidasilvaf/syntenet?branch=devel)


The goal of `syntenet` is to infer synteny networks from whole-genome 
protein sequence data and analyze them. Anchor pairs from synteny analyses are
treated as an undirected unweighted graph (i.e., a synteny network),
and users can perform: 

- **Synteny detection** using a native implementation of the 
[MCScanX algorithm](https://doi.org/10.1093/nar/gkr1293), a C++ program that 
has been modified and ported to R with Rcpp. This way, users do not need to 
install MCScanX beforehand, because `syntenet` has its own implementation
of the same algorithm.
- **Synteny network inference** by treating anchor pairs as edges of a graph;
- **Network clustering** using the Infomap algorithm;
- **Phylogenomic profiling**, which consists in identifying which species 
contain which clusters. This analysis can reveal highly conserved synteny
clusters and taxon-specific ones (e.g., family- and order-specific clusters); 
- **Microsynteny-based phylogeny reconstruction** with maximum likelihood,
which can be achieved by inferring a phylogeny from a binary matrix of
phylogenomic profiles with IQTREE.


## Installation instructions

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

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

BiocManager::install("syntenet")
```

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

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

## Citation

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

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

Please note that `syntenet` 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 `syntenet` 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/syntenet) 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')`.


Owner

  • Name: Fabrício Almeida-Silva
  • Login: almeidasilvaf
  • Kind: user
  • Location: Technologiepark 71, Ghent, Belgium
  • Company: VIB-UGent Center for Plant Systems Biology

Bioinformatics. Network biology. Plant genomics and evolution. #rstats addict.

GitHub Events

Total
  • Issues event: 8
  • Watch event: 6
  • Issue comment event: 9
  • Push event: 6
  • Create event: 2
Last Year
  • Issues event: 8
  • Watch event: 6
  • Issue comment event: 9
  • Push event: 6
  • Create event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 116
  • Total Committers: 4
  • Avg Commits per committer: 29.0
  • Development Distribution Score (DDS): 0.353
Past Year
  • Commits: 56
  • Committers: 4
  • Avg Commits per committer: 14.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
almeidasilvaf f****a@h****m 75
Kristian Ullrich u****h@e****e 37
J Wokaty j****y@s****u 2
J Wokaty j****y 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 7
  • Average time to close issues: 5 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 13
  • Total pull request authors: 1
  • Average comments per issue: 4.05
  • Average comments per pull request: 0.43
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 0
  • Average time to close issues: 7 days
  • Average time to close pull requests: N/A
  • Issue authors: 5
  • Pull request authors: 0
  • Average comments per issue: 1.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • dmacguigan (4)
  • alexvasilikop (3)
  • sujee119 (2)
  • WWz33 (2)
  • jhcuarta (1)
  • shun-oit (1)
  • enriquepola1996 (1)
  • iaindhay (1)
  • aurelim (1)
  • SJ-Smit (1)
  • xiaoyezao (1)
  • YingChen94 (1)
  • PeterMulhair (1)
Pull Request Authors
  • kullrich (7)
Top Labels
Issue Labels
enhancement (2) documentation (1) bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 8,311 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 9
  • Total maintainers: 1
bioconductor.org: syntenet

Inference And Analysis Of Synteny Networks

  • Versions: 9
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 8,311 Total
Rankings
Dependent repos count: 0.0%
Forks count: 8.8%
Stargazers count: 9.1%
Dependent packages count: 19.9%
Average: 25.6%
Downloads: 90.0%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.2 depends
  • Biostrings * imports
  • GenomicRanges * imports
  • RColorBrewer * imports
  • Rcpp >= 1.0.8 imports
  • ggnetwork * imports
  • ggplot2 * imports
  • grDevices * imports
  • igraph * imports
  • intergraph * imports
  • methods * imports
  • networkD3 * imports
  • pheatmap * imports
  • stats * imports
  • utils * imports
  • vegan * imports
  • BiocStyle * suggests
  • covr * suggests
  • ggtree * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • xml2 * suggests
.github/workflows/check-bioc.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/upload-artifact v2 composite
  • docker/build-push-action v1 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite