evogenex

This repository contains the source code of the R package for EvoGeneX, a software to infer the mode of evolution from the gene expression data.

https://github.com/ncbi/evogenex

Science Score: 52.0%

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
  • Academic email domains
  • Institutional organization owner
    Organization ncbi has institutional domain (www.ncbi.nlm.nih.gov)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

This repository contains the source code of the R package for EvoGeneX, a software to infer the mode of evolution from the gene expression data.

Basic Info
  • Host: GitHub
  • Owner: ncbi
  • License: gpl-3.0
  • Language: HTML
  • Default Branch: master
  • Size: 51.3 MB
Statistics
  • Stars: 21
  • Watchers: 19
  • Forks: 6
  • Open Issues: 2
  • Releases: 0
Created over 6 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

EvoGeneX

Ornstein-Uhlenbeck models for Phylogenetic Comparative Hypotheses for gene expression evolution that utilizes within-species variation.

Source install

devtools::install_github("ncbi/EvoGeneX", build_vignettes=TRUE)

Vignettes

See vignette.

Within an R session: vignette("EvoGeneX", package="EvoGeneX")

Examples

Drosophila data to access from R

See vignette.

Drosophila data and results in MS Excel format

The following Microsoft Excel files provide the Drosophila gene expression data and the results mentioned in the EvoGeneX paper. The data and results for each of the 5 body-parts and the 2 sexes (total 10) is kept as a separate sheet in each of the Excel files. Additionally, each Excel file includes a ReadMe sheet that gives details of the columns in the rest of the sheets.

Citation

Soumitra Pal, Brian C. Oliver, and Teresa M. Przytycka. Modeling gene expression evolution with EvoGeneX uncovers differences in evolution of species, organs and sexes. Journal of Computational Biology 2023.

Owner

  • Name: NCBI - National Center for Biotechnology Information/NLM/NIH
  • Login: ncbi
  • Kind: organization
  • Email: github-tools@ncbi.nlm.nih.gov

Citation (CITATION)

citHeader("To cite EvoGeneX in publications use:")

citEntry(
  entry    = "Article",
  title    = paste(
    "Stochastic modeling of gene expression evolution uncovers tissue and sex",
    "specific properties of expression evolution in the Drosophila genus"
  ),
  author   = c(
    person(c("Soumitra", ""), "Pal"),
    person(c("Brian", "C."), "Oliver"),
    person(c("Teresa", "M."), "Przytycka")
  ),
  journal  = "Journal of Computational Biology",
  year     = "2023",
  volume   = "30",
  number   = "1",
  pages    = "21-40",
  doi      = {10.1089/cmb.2022.0121},
  note     = {PMID: 36037023},
  textVersion = paste(
    "Soumitra Pal, Brian C. Oliver, and Teresa M. Przytycka.",
    "Stochastic modeling of gene expression evolution uncovers tissue and sex",
    "specific properties of expression evolution in the Drosophila genus"
    "Journal of Computational Biology (2023): 30(1)",
    "<10.1089/cmb.2022.0121>."
  )
)

GitHub Events

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Last synced: 9 months ago

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Top Authors
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  • pedro-mmartins (1)
  • bioinformaticspcj (1)
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  • mghirsch42 (1)
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Dependencies

DESCRIPTION cran
  • R >= 4.0 depends
  • Rcpp * depends
  • RcppEigen * depends
  • graphics * depends
  • methods * depends
  • nloptr * depends
  • ouch * depends
  • stats * depends
  • Rcpp >= 1.0.4.6 imports
  • nloptr >= 1.2.0 imports
  • ape * suggests
  • knitr * suggests
  • rmarkdown * suggests