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.
Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Institutional organization owner
Organization ncbi has institutional domain (www.ncbi.nlm.nih.gov) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
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
Metadata Files
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
- example_constrained.R shows how to determine if a gene is constrained or neutral
- example_adaptive.R shows how to determine if a gene is adaptive or not
- example_multigene.R shows how to determine if a set of genes are individually constrained or neutral
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.
- DrosophilaNormalizedGeneExpression.xlsx: Normalized gene expression data of 8591 orthologs from 9 drosophila species each with 4 replicates.
- DrosophilaGenesConstrainedOrNot.xlsx: For each of the 8591 orthologs if it was predicted by EvoGeneX to undergo constrained expression evolution as compared to neutral evolution.
- DrosophilaAdaptiveGenesTwoRegime.xlsx: List of orthologs predicted to undergo adaptive evolution under the two-regime scenario.
- DrosophilaAdaptiveGenesThreeRegime.xlsx: List of orthologs predicted to undergo adaptive evolution under the three-regime scenario.
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
- Website: http://www.ncbi.nlm.nih.gov
- Repositories: 99
- Profile: https://github.com/ncbi
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
Total
- Watch event: 3
- Issue comment event: 2
- Push event: 5
- Create event: 1
Last Year
- Watch event: 3
- Issue comment event: 2
- Push event: 5
- Create event: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 5
- Total pull requests: 1
- Average time to close issues: 10 days
- Average time to close pull requests: 25 days
- Total issue authors: 5
- Total pull request authors: 1
- Average comments per issue: 2.6
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 2.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pedro-mmartins (1)
- bioinformaticspcj (1)
- yaaraneumeier (1)
- DiracZhu1998 (1)
- basai1234 (1)
Pull Request Authors
- mghirsch42 (1)
Top Labels
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Dependencies
- 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