https://github.com/bioconductor-source/sojourner

https://github.com/bioconductor-source/sojourner

Science Score: 26.0%

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    Found 1 DOI reference(s) in README
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    Low similarity (13.7%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • Language: R
  • Default Branch: devel
  • Size: 18.1 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog

README.Rmd

---
output: github_document
---
# 



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




Single molecule tracking has evolved as a novel new approach complementing genomic sequencing, it reports live biophysical properties of molecules being investigated besides properties relating their coding sequence. Here we provided "_sojourner_" package, to address statistical and bioinformatic needs related to the analysis and comprehension of high throughput single molecule tracking data (https://bioconductor.org/packages/sojourner/).

Maintainer: 

_sojourner_ developer 

Citation:

Liu S, Yoo S, Tang X, Sung Y, Wu C (2020). Sojourner: statistical analysis of single molecule trajectories. R package version 1.3.0,  https://github.com/sheng-liu/sojourner. DOI: 10.18129/B9.bioc.sojourner.


## Installation

You can install _sojourner_ as a Bioconductor package:

``` r
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sojourner")
```

Alternatively, you can also install _sojourner_ directly from github. 

``` r
# install.packages("devtools")
devtools::install_github("sheng-liu/sojourner", build_vignettes = TRUE, ref = "master")

```

## Documentation

_Sojourner_ has a vignette contained in the package. You can view the documentation by

``` r
browseVignettes("sojourner")
```

Alternatively, you can also access the the vignette on _sojourner_'s website

https://sheng-liu.github.io/sojourner/articles/sojourner-vignette.html 

## Dependencies

These are packages that _sojourner_ uses in case they are not installed automatically.

``` r
# plotting
install.packages('ggplot2')
install.packages('reshape2')
install.packages('dplyr')
install.packages('scales')
install.packages('gridExtra')

# curve fitting and clustering
install.packages('mixtools')
install.packages('fitdistrplus')
install.packages('nls2')
install.packages('minpack.lm')
install.packages('truncnorm')
install.packages('mclust')

# image processing - CRAN
install.packages('jpeg')
install.packages('tiff')
install.packages('png')
install.packages('pixmap')

# image processing- Bioconductor
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install()
BiocManager::install(c("EBImage"))

# interfacing
install.packages('R.matlab')
install.packages('Rcpp')
install.packages("reticulate")

# GUI
install.packages('shiny')
install.packages('shinyjs')

# others
install.packages('mltools')
install.packages('sampSurf')
install.packages('sp')
install.packages('rlang')


```





Owner

  • Name: (WIP DEV) Bioconductor Packages
  • Login: bioconductor-source
  • Kind: organization
  • Email: maintainer@bioconductor.org

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Dependencies

DESCRIPTION cran
  • EBImage * imports
  • MASS * imports
  • R.matlab * imports
  • Rcpp * imports
  • compiler * imports
  • dplyr * imports
  • fitdistrplus * imports
  • ggplot2 * imports
  • grDevices * imports
  • graphics * imports
  • grid * imports
  • gridExtra * imports
  • lattice * imports
  • mclust * imports
  • minpack.lm * imports
  • mixtools * imports
  • mltools * imports
  • nls2 * imports
  • pixmap * imports
  • plyr * imports
  • reshape2 * imports
  • rlang * imports
  • sampSurf * imports
  • scales * imports
  • shiny * imports
  • shinyjs * imports
  • sp * imports
  • stats * imports
  • truncnorm * imports
  • utils * imports
  • BiocGenerics * suggests
  • BiocStyle * suggests
  • RUnit * suggests
  • knitr * suggests
  • rmarkdown * suggests