bioseq

A Toolbox for Manipulating Biological Sequences in R

https://github.com/fkeck/bioseq

Science Score: 23.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: wiley.com
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A Toolbox for Manipulating Biological Sequences in R

Basic Info
Statistics
  • Stars: 23
  • Watchers: 2
  • Forks: 3
  • Open Issues: 8
  • Releases: 0
Created about 6 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License

README.md

bioseq: A Toolbox for Manipulating Biological Sequences in R

R build status Codecov test coverage CRAN status <!-- badges: end -->

The purpose of bioseq is to provide a collection of classes and functions for biological sequence manipulation in R. The package provides simple S3 classes for sequences that are suitable for inclusion in a data frame and that can be analysed using the dplyr grammar and other tidyverse tools.

Installation

You can install the development version of bioseq from GitHub with:

r remotes::install_github("fkeck/bioseq")

Tutorials

There are two vignettes available to get started with the package:

  • Introduction to the bioseq package
  • Cleaning and exploring NCBI data with the bioseq package

Citation

If you use bioseq please cite Keck F. (2020) Handling biological sequences in R with the bioseq package. Methods in Ecology and Evolution. doi:10.1111/2041-210X.13490

Owner

  • Name: François Keck
  • Login: fkeck
  • Kind: user
  • Location: Zürich, Switzerland

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 116
  • Total Committers: 2
  • Avg Commits per committer: 58.0
  • Development Distribution Score (DDS): 0.034
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
fkeck f****k@g****m 112
ErdaradunGaztea 3****a 4

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 17
  • Total pull requests: 1
  • Average time to close issues: 28 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 5
  • Total pull request authors: 1
  • Average comments per issue: 0.82
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • fkeck (13)
  • archavan (1)
  • kenscripts (1)
  • pedrosenna (1)
  • nysdan (1)
Pull Request Authors
  • ErdaradunGaztea (1)
Top Labels
Issue Labels
new feature (2) enhancement (2) bug (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 432 last-month
  • Total docker downloads: 21,613
  • Total dependent packages: 2
  • Total dependent repositories: 2
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: bioseq

A Toolbox for Manipulating Biological Sequences

  • Versions: 4
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 432 Last month
  • Docker Downloads: 21,613
Rankings
Docker downloads count: 0.6%
Stargazers count: 11.8%
Dependent packages count: 13.7%
Average: 13.7%
Forks count: 14.2%
Dependent repos count: 19.3%
Downloads: 22.7%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1.0 depends
  • ape * imports
  • crayon * imports
  • dplyr * imports
  • methods * imports
  • pillar * imports
  • readr * imports
  • rlang * imports
  • stringdist * imports
  • stringi * imports
  • stringr * imports
  • tibble * imports
  • vctrs * imports
  • covr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 2.1.0 suggests