rseb

An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.

https://github.com/sebastian-gregoricchio/rseb

Science Score: 67.0%

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    Low similarity (15.4%) to scientific vocabulary

Keywords

atac-seq bedtools chip-seq cutandtag daily-tasks data-visualisation data-visualization datamining deeptools genomics ngs qpcr qpcr-analysis r rna-seq statistics
Last synced: 4 months ago · JSON representation ·

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An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.

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Topics
atac-seq bedtools chip-seq cutandtag daily-tasks data-visualisation data-visualization datamining deeptools genomics ngs qpcr qpcr-analysis r rna-seq statistics
Created about 5 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License Citation

README.md

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Rseb

An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data managing.

Introduction

The concept behind the Rseb (R-package for Simplified End-to-end data Build-up) is to provide a toolkit that allows the automation of different type of tasks avoiding retyping of code and loss of time. Furthermore, the advantage is that, in most of the cases, the functions are built in R-language making it suitable for all the operating systems

From a more biological point of view, this package simplifies many downstream analyses of high-throughput data that otherwise would require many hours of code typing and case-to-case adaptation. Moreover, most of the functions aimed to visualize these kind of data are thought to provide a high level of possible customization with a large number of graphical parameters compared to the commonly used already available tools. Another advantage of this package is that it offers multiple methods, with a corresponding visualization, to quantify the difference of signal between samples, in a qualitatively and/or quantitatively way, without any additional coding.

The guide is divided in three parts: the first one will explore some analyses and visualization of RNA-seq data, the second one the representation and quantification of targeted sequencing data (ChIP-seq, ATAC-seq, etc.), while the last part is focused on some of the "general" tools available.

Citation

If you use this package, please cite:

"HDAC1 and PRC2 mediate combinatorial control in SPI1/PU.1-dependent gene repression in murine erythroleukaemia." Gregoricchio S. *et al.*, *Nucleic Acids Research* (2022) *doi*: [10.1093/nar/gkac613](https://doi.org/10.1093/nar/gkac613)


Dependencies/Requirements

Unavailble libraries

Some functions require packages that are noy available anymore on Bioconductor (namely SUSHI and diffloop). These can be installed (in the following order) as indicated below:

```r

Install devtools from CRAN

install.packages("devtools")

Or the development version from GitHub:

install.packages("devtools")

devtools::install_github("r-lib/devtools")

Install SUSHI package

devtools::installgithub("https://github.com/PhanstielLab/Sushi", buildmanual = FALSE, build_vignettes = FALSE)

Install diffloop package

devtools::installgithub("https://github.com/aryeelab/diffloop", buildmanual = FALSE, build_vignettes = FALSE) ```


deepTools

Certain functions of this package require that deeptools is installed on your system. For more information see the deepTools installation page. * Installation via conda: conda install -c bioconda deeptools * Command line installation using pip: pip install deeptools, All python requirements should be automatically installed.


bedTools

Certain functions of this package require that bedtools is installed on your system. For more information see the bedTools installation page. * Installation via conda: conda install -c bioconda bedtools * Command line installation: - Fedora/Centos: yum install BEDTools - Debian/Ubuntu: apt-get install bedtools - Homebrew (MacOS): brew tap homebrew/science; brew install bedtools - MacPorts: port install bedtools


Installation of Rseb

```r

Install devtools from CRAN

install.packages("devtools")

Or the development version from GitHub:

install.packages("devtools")

devtools::install_github("r-lib/devtools")

Install the Rseb package

devtools::installgithub("sebastian-gregoricchio/Rseb", buildmanual = TRUE, build_vignettes = TRUE) ```

Documentation

With the package a PDF manual and a vignette are available. The vignette can be inspected on R as well by typing browseVignettes("Rseb").


Package history and releases

A list of all releases and respective description of changes applied could be found here.



Contact

For any suggestion, bug fixing, commentary please report it in the issues/request tab of this repository.

License

This package is under a GNU General Public License (version 3).


Contributors

contributors

Owner

  • Name: Sebastian Gregoricchio
  • Login: sebastian-gregoricchio
  • Kind: user
  • Location: Amsterdam, NL
  • Company: Netherlands Cancer Institute

https://orcid.org/0000-0001-9209-5403

Citation (citation.cff)

cff-version: 1.2.0
message: "If you use Rseb, please cite this publication:"
authors:
- family-names: "Gregoricchio"
  given-names: "Sebastian"
  orcid: "https://orcid.org/0000-0001-9209-5403"
- family-names: "Lélia"
  given-names: "Polit"
- family-names: "Michela"
  given-names: "Esposito"
- family-names: "Jérémy"
  given-names: "Berthelet"
- family-names: "Laure"
  given-names: "Delestré"
- family-names: "Emilie"
  given-names: "Evanno"
- family-names: "M’Boyba"
  given-names: "Diop"
- family-names: "Isabelle"
  given-names: "Gallais"
- family-names: "Hanna"
  given-names: "Aleth"
- family-names: "Mathilde"
  given-names: "Poplineau"
- family-names: "Zwart"
  given-names: "Wilbert"
  orcid: "https://orcid.org/0000-0002-9823-7289"
- family-names: "Frank"
  given-names: "Rosenbauer"
- family-names: "Fernando"
  given-names: "Rodrigues-Lima"
- family-names: "Estelle"
  given-names: "Duprez" 
- family-names: "Valentina"
  given-names: "Boeva"
- family-names: "Christel"
  given-names: "Guillouf"
  orcid: "https://orcid.org/0000-0001-7013-3149"
preferred-citation:
  authors:
  - family-names: "Gregoricchio"
    given-names: "Sebastian"
    orcid: "https://orcid.org/0000-0001-9209-5403"
  - family-names: "Lélia"
    given-names: "Polit"
  - family-names: "Michela"
    given-names: "Esposito"
  - family-names: "Jérémy"
    given-names: "Berthelet"
  - family-names: "Laure"
    given-names: "Delestré"
  - family-names: "Emilie"
    given-names: "Evanno"
  - family-names: "M’Boyba"
    given-names: "Diop"
  - family-names: "Isabelle"
    given-names: "Gallais"
  - family-names: "Hanna"
    given-names: "Aleth"
  - family-names: "Mathilde"
    given-names: "Poplineau"
  - family-names: "Zwart"
    given-names: "Wilbert"
    orcid: "https://orcid.org/0000-0002-9823-7289"
  - family-names: "Frank"
    given-names: "Rosenbauer"
  - family-names: "Fernando"
    given-names: "Rodrigues-Lima"
  - family-names: "Estelle"
    given-names: "Duprez" 
  - family-names: "Valentina"
    given-names: "Boeva"
  - family-names: "Christel"
    given-names: "Guillouf"
    orcid: "https://orcid.org/0000-0001-7013-3149"
  title: "HDAC1 and PRC2 mediate combinatorial control in SPI1/PU.1-dependent gene repression in murine erythroleukaemia"
  type: article
  doi: 10.1093/nar/gkac613
  issue: 14
  volume: 50
  year: 2022
  url: https://doi.org/10.1093/nar/gkac613
  journal: "Nucleic Acids Research"
title: "HDAC1 and PRC2 mediate combinatorial control in SPI1/PU.1-dependent gene repression in murine erythroleukaemia"
issue: 14
volume: 50
doi: 10.1093/nar/gkac613
year: 2022
url: https://doi.org/10.1093/nar/gkac613

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Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • AnnotationFilter * imports
  • BiocManager * imports
  • Biostrings * imports
  • EnsDb.Hsapiens.v75 * imports
  • EnsDb.Hsapiens.v86 * imports
  • EnsDb.Mmusculus.v79 * imports
  • GO.db * imports
  • GenomicRanges * imports
  • biomaRt * imports
  • colorspace * imports
  • cowplot * imports
  • curl * imports
  • data.table * imports
  • devtools * imports
  • diffloop * imports
  • dplyr * imports
  • ggbio * imports
  • ggforce * imports
  • ggplot2 >= 3.3.3 imports
  • ggpmisc * imports
  • ggpubr * imports
  • ggrepel * imports
  • jpeg * imports
  • knitr * imports
  • matrixStats * imports
  • openssl * imports
  • plyr * imports
  • prettydoc * imports
  • purrr * imports
  • readxl * imports
  • rmarkdown * imports
  • robustbase * imports
  • rtracklayer * imports
  • rvcheck * imports
  • stats * imports
  • stringr * imports
  • tidyr * imports
  • tools * imports