Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (17.4%) to scientific vocabulary
Last synced: 6 months ago
·
JSON representation
·
Repository
T-cell Receptor/Immunoglobulin Profiler {tripr}
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 4 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
Changelog
License
Citation
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# tripr
T-cell Receptor/Immunoglobulin Profiler (TRIP)
## Description
`tripr` is a [Bioconductor](http://bioconductor.org) package,
written in [shiny](https://shiny.rstudio.com/) that provides
analytics services on
antigen receptor (B cell receptor immunoglobulin, BcR IG | T cell receptor,
TR) gene sequence data. Every step of the analysis can be
performed interactively, thus not requiring any programming skills. It takes
as input the output files of the
[IMGT/HighV-Quest tool](http://www.imgt.org/HighV-QUEST/home.action).
Users can select to analyze the data from each of the input samples separately,
or the combined data files from all samples and visualize the results
accordingly.
Functions for an `R` command-line use are also available.
## Installation
To install `tripr` from github use:
```{r eval=FALSE}
remotes::install_github("iofeidis/tripr", dependencies = TRUE)
```
## Launching the app
Once `tripr` is successfully installed, it can be loaded as follow:
```{r eval=FALSE}
library(tripr)
```
## User Guide
Have a look at our thorough `tripr` user guide (on
[*dev* branch](https://github.com/iofeidis/tripr/tree/dev)) with:
```{r eval=FALSE}
browseURL(url = "vignettes/tripr_guide.html")
```
Owner
- Name: Iason Ofeidis
- Login: iofeidis
- Kind: user
- Location: New Haven, US
- Company: Yale University
- Repositories: 2
- Profile: https://github.com/iofeidis
Citation (CITATION.cff)
# YAML 1.2
---
authors:
-
family-names: Kotouza
given-names: "Maria Th."
orcid: "https://orcid.org/0000-0002-5375-5410"
-
family-names: Gemenetzi
given-names: Katerina
orcid: "https://orcid.org/0000-0002-0216-0257"
-
family-names: Galigalidou
given-names: Chrysi
-
family-names: Vlachonikola
given-names: Elisavet
orcid: "https://orcid.org/0000-0003-4609-9977"
-
family-names: Pechlivanis
given-names: Nikolaos
orcid: "https://orcid.org/0000-0003-2502-612X"
-
family-names: Agathangelidis
given-names: Andreas
orcid: "https://orcid.org/0000-0002-8467-7945"
-
family-names: Sandaltzopoulos
given-names: Raphael
orcid: "https://orcid.org/0000-0002-8490-4300"
-
family-names: Mitkas
given-names: "Pericles A."
-
family-names: Stamatopoulos
given-names: Kostas
-
family-names: Chatzidimitriou
given-names: Anastasia
-
family-names: Psomopoulos
given-names: "Fotis E."
orcid: "https://orcid.org/0000-0002-0222-4273"
cff-version: "1.1.0"
date-released: 2020-09-29
doi: "10.1186/s12859-020-03669-1"
keywords:
- "Antigen receptor"
- "Software pipeline"
- "R shiny"
license: MIT
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/BiodataAnalysisGroup/TRIP"
title: "T-cell Receptor/Immunoglobulin Profiler (TRIP)"
version: "0.99.0"
...
GitHub Events
Total
Last Year
Dependencies
DESCRIPTION
cran
- shiny >= 1.6.0 depends
- shinyBS * depends
- parallel * enhances
- DT * imports
- RColorBrewer * imports
- config >= 0.3.1 imports
- data.table * imports
- dplyr * imports
- golem >= 0.3.1 imports
- grDevices * imports
- graphics * imports
- gridExtra * imports
- methods * imports
- plot3D * imports
- plotly * imports
- plyr * imports
- pryr * imports
- shinyFiles * imports
- shinyjs * imports
- stats * imports
- stringdist * imports
- stringr * imports
- utils * imports
- BiocGenerics * suggests
- BiocManager * suggests
- BiocStyle * suggests
- Biostrings * suggests
- RefManageR * suggests
- biocthis * suggests
- fs * suggests
- knitr * suggests
- motifStack * suggests
- rlist * suggests
- rmarkdown * suggests
- shinycssloaders * suggests
- testthat >= 3.0.0 suggests
- tidyverse * suggests
- xtable * suggests