vidger

Make rapid visualizations of RNA-seq data in R

https://github.com/btmonier/vidger

Science Score: 10.0%

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
  • Academic publication links
  • Committers with academic emails
    1 of 7 committers (14.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.6%) to scientific vocabulary

Keywords

data-munging differential-expression gene-expression r rna-seq-analysis visualization

Keywords from Contributors

bioconductor-package genomics proteomics microbiome shiny u24ca289073 core-package mass-spectrometry gene bioconductor
Last synced: 6 months ago · JSON representation

Repository

Make rapid visualizations of RNA-seq data in R

Basic Info
  • Host: GitHub
  • Owner: btmonier
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 4.25 MB
Statistics
  • Stars: 19
  • Watchers: 4
  • Forks: 6
  • Open Issues: 4
  • Releases: 0
Topics
data-munging differential-expression gene-expression r rna-seq-analysis visualization
Created almost 9 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.Rmd

---
output: github_document
---

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

# ViDGER 

[![Build Status](https://travis-ci.org/btmonier/vidger.svg?branch=master)](https://travis-ci.org/btmonier/vidger)
[![codecov](https://codecov.io/gh/btmonier/vidger/branch/master/graph/badge.svg)](https://codecov.io/gh/btmonier/vidger)
[![bioc](http://bioconductor.org/shields/downloads/release/vidger.svg)](https://bioconductor.org/packages/stats/bioc/vidger/) 
[![platforms](https://bioconductor.org/shields/availability/3.7/vidger.svg)](https://bioconductor.org/packages/release/bioc/html/vidger.html#archives)

## Overview
ViDGER (**Vi**sualization of **D**ifferential **G**ene **E**xpression 
using **R**), is an `R` package that can rapidly generate information-rich 
visualizations for the interpretation of differential gene expression 
results from three widely-used tools: `Cuffdiff`, `DESeq2`, and `edgeR`.


## Installation
The stable version of this package is available on 
[Bioconductor](http://bioconductor.org/packages/release/bioc/html/vidger.html)
. You can install it by:

```{r, eval=FALSE}
if (!require("BiocManager")) install.packages("BiocManager")
BiocManager::install("vidger")
```

If you want the latest version, install it directly from this GitHub repo:

```{r, eval=FALSE}
if (!require("devtools")) install.packages("devtools")
devtools::install_github("btmonier/vidger", ref = "devel")
```


## Functions
The stable release of `vidger` has 9 visualization functions:

* `vsScatterPlot()`
* `vsScatterMatrix()`
* `vsBoxplot()`
* `vsDEGMatrix()`
* `vsVolcano()`
* `vsVolcanoMatrix()`
* `vsMAPlot()`
* `vsMAMatrix()`
* `vsFourWay()`


## Loading test data
To simulate the usage of the three aformentioned tools, "toy" data sets have
been implemented in this package. Each of these data sets represents their
respective `R` class:

* `df.cuff` A `cuffdiff` output file.
* `df.deseq` A `DESeq2` object class.
* `df.edger` An `edgeR` object class.

To load these data sets, use the following command:

```{r, eval=FALSE}
data("")
```
...where `""` is one of the previously mentioned data sets.


## Getting help
For additional information on these functions, please see the given
documentation in the `vidger` package by adding the `?` help operator before 
any of the given functions in this package or by using the `help()` function. 

For a more in-depth analysis, consider reading the vignette provided with this 
package:

```{r, eval=FALSE}
vignette("vidger")
```

- - -
*Last updated:* `r format(Sys.Date())`

Owner

  • Name: Brandon Monier
  • Login: btmonier
  • Kind: user
  • Location: Ithaca, New York USA
  • Company: Cornell University

I write code and model things for the Buckler Lab at Cornell University. @maize-genetics

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 422
  • Total Committers: 7
  • Avg Commits per committer: 60.286
  • Development Distribution Score (DDS): 0.133
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
btmonier b****r@g****m 366
Brandon Monier b****r@s****u 48
Nitesh Turaga n****a@g****m 2
vobencha v****n@r****g 2
vobencha v****a@g****m 2
Kayla-Morrell k****l@r****g 1
LiNk-NY m****9@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 7
  • Total pull requests: 2
  • Average time to close issues: 21 days
  • Average time to close pull requests: 1 minute
  • Total issue authors: 7
  • Total pull request authors: 1
  • Average comments per issue: 1.43
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • 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
  • harish0201 (1)
  • diegobah (1)
  • nztao (1)
  • jkost42 (1)
  • paleolimbot (1)
  • Tang-YH (1)
  • wajm (1)
Pull Request Authors
  • btmonier (2)
Top Labels
Issue Labels
bug (2) question (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 17,696 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
bioconductor.org: vidger

Create rapid visualizations of RNAseq data in R

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 17,696 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Stargazers count: 7.8%
Forks count: 8.8%
Average: 13.6%
Downloads: 51.4%
Maintainers (1)
Last synced: 6 months ago