alphabetr
R package for obtaining TCR alpha-beta sequence pairs
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: plos.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
Last synced: 11 months ago
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Repository
R package for obtaining TCR alpha-beta sequence pairs
Statistics
- Stars: 8
- Watchers: 2
- Forks: 3
- Open Issues: 4
- Releases: 0
Created about 10 years ago
· Last pushed over 9 years ago
Metadata Files
Readme
README.Rmd
---
output:
md_document:
variant: markdown_github
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
## alphabetr
`alphabetr` implements the ALPHABETR (algorithm for pairing alpha-beta T cell receptors) algorithms for obtaining TCR sequence pairs. This approach determines CDR3A/CDR3B pairs from high-throughput sequencing data from repeated samples of antigen-specific T cell populations.
With `alphabetr`, you can
* Determine CDR3A/CDR3B pairs
* Determine dual TCR-alpha clones and clones that share CDR3A or CDR3B sequences
* Estimate clonal frequencies
You can install
* the latest version released on CRAN with
```{r eval = FALSE}
install.packages("alphabetr")
```
* the latest development version found on github with
```{r eval = FALSE}
if (packageVersion("devtools") < 1.6) {
install.packages("devtools")
}
devtools::install_github("edwardslee/alphabetr")
```
If you encounter any bugs, please file an [issue](https://github.com/edwardslee/alphabetr/issues).
## More information
Please see [our paper in PLOS Computational Biology](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005313) for more details about the algorithm and how it was tested (DOI: 10.1371/journal.pcbi.1005313).
Owner
- Name: Edward Lee
- Login: edwardslee
- Kind: user
- Location: Glasgow, UK
- Website: http://edlee.co
- Repositories: 2
- Profile: https://github.com/edwardslee
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Edward Lee | e****e@g****m | 79 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 4
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 4
- Total pull request authors: 0
- Average comments per issue: 1.75
- Average comments per pull request: 0
- Merged pull requests: 0
- 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
- edwardslee (1)
- almaan (1)
- laurajohnson (1)
- MiryamSpektor (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 226 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: alphabetr
Algorithms for High-Throughput Sequencing of Antigen-Specific T Cells
- Homepage: http://github.com/edwardslee/alphabetr
- Documentation: http://cran.r-project.org/web/packages/alphabetr/alphabetr.pdf
- License: AGPL (≥ 3)
-
Latest release: 0.2.2
published over 9 years ago
Rankings
Forks count: 14.9%
Stargazers count: 18.7%
Average: 28.9%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 45.7%
Maintainers (1)
Last synced:
11 months ago
Dependencies
DESCRIPTION
cran
- Rcpp >= 0.12.3 imports
- clue >= 0.3 imports
- dplyr >= 0.4.3 imports
- multicool >= 0.1 imports
- knitr * suggests
- rmarkdown * suggests