BioCor
Package to calculate functional similarity between genes https://biocor.llrs.dev
Science Score: 54.0%
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Low similarity (17.9%) to scientific vocabulary
Keywords
bioconductor-packages
bioinformatics
functional-similarity
gene
gene-sets
pathway-analysis
pathways
similarity
similarity-measurement
Keywords from Contributors
bioconductor
bioconductor-package
biomarker-discovery
biostatistics
causal-inference
computational-biology
targeted-learning
cheminformatics
chromatography
gc-fid
Last synced: 6 months ago
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Repository
Package to calculate functional similarity between genes https://biocor.llrs.dev
Basic Info
- Host: GitHub
- Owner: llrs
- License: other
- Language: R
- Default Branch: devel
- Homepage: https://www.bioconductor.org/packages/BioCor/
- Size: 9.97 MB
Statistics
- Stars: 14
- Watchers: 3
- Forks: 1
- Open Issues: 4
- Releases: 3
Topics
bioconductor-packages
bioinformatics
functional-similarity
gene
gene-sets
pathway-analysis
pathways
similarity
similarity-measurement
Created about 9 years ago
· Last pushed 8 months ago
Metadata Files
Readme
Changelog
Contributing
License
Citation
Codemeta
README.Rmd
---
output: github_document
---
```{r echo=FALSE, message=FALSE, warning=FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
library("BioCor")
```
# BioCor
[](https://github.com/llrs/BioCor/actions/workflows/R-CMD-check.yaml)
[](https://codecov.io/gh/llrs/BioCor/)
[](https://bioconductor.org/checkResults/devel/bioc-LATEST/BioCor/)
[](https://www.bioconductor.org/packages/devel/bioc/html/BioCor.html#since)
[](https://www.repostatus.org/#active)
[](https://www.tidyverse.org/lifecycle/#stable)
[](https://bestpractices.coreinfrastructure.org/projects/1913)
This project wants to allow the user to calculate functional similarities (or biological correlation as it was named originally hence the name) and
use them for network building or other purposes.
# Installation
It is an R package you can install it from the Bioconductor project with:
```{r eval = FALSE}
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("BioCor")
```
You can install this version of *BioCor* with:
```{r eval=FALSE}
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")
}
devtools::install_github("llrs/BioCor")
```
# How to use BioCor?
See the [vignette](https://bioconductor.org/packages/release/bioc/vignettes/BioCor/inst/doc/BioCor_1_basics.html) in Bioconductor site and the [advanced vignette](https://bioconductor.org/packages/release/bioc/vignettes/BioCor/inst/doc/BioCor_2_advanced.html).
Here is a minimum example:
```{r message=FALSE, warning=FALSE, include=FALSE}
library("reactome.db")
genesReact <- as.list(reactomeEXTID2PATHID)
# Remove genes and pathways which are not from human pathways
genesReact <- sapply(genesReact, function(x) {
unique(grep("R-HSA-", x, value = TRUE))
})
genesReact <- genesReact[lengths(genesReact) >= 1]
```
```{r}
# The data must be provided, see the vignette for more details.
# Get some pathways from the pathway data
(pathways <- sample(unlist(genesReact, use.names = FALSE), 5))
# Calculate the pathway similarity of them
mpathSim(pathways, genesReact, NULL)
```
# Who might use this package?
It is intended for bioinformaticians, both people interested in *knowing* the functionally *similarity of some genes* or clusters and people *developing* some other analysis at the top of it.
# What is the goal of this project?
The goal of this project is to provide methods to calculate functional similarities based on pathways.
# What can be BioCor used for?
Here is a non-comprehensive list:
- Diseases or drug:
By observing which genes with the same pathways are more affected
- Gene/protein functional analysis:
By testing how new pathways are similar to existing pathways
- Protein-protein interaction:
By testing if they are involved in the same pathways
- miRNA-mRNA interaction:
By comparing clusters they affect
- sRNA regulation:
By observing the relationship between sRNA and genes
- Evolution:
By comparing similarities of genes between species
- Networks improvement:
By adding information about the known relationship between genes
- Evaluate pathways databases:
By comparing scores of the same entities
See the [advanced vignette](https://bioconductor.org/packages/release/bioc/vignettes/BioCor/inst/doc/BioCor_2_advanced.html)
# Contributing
Please read [how to contribute](.github/CONTRIBUTING.md) for details on the code of conduct, and the process for submitting pull requests.
# Acknowledgments
Anyone that has contributed to make this package be as is, specially my advisor.
Owner
- Name: Lluís Revilla
- Login: llrs
- Kind: user
- Location: Spain
- Company: @irsi-tiv
- Website: https://llrs.dev
- Twitter: Lluis_Revilla
- Repositories: 140
- Profile: https://github.com/llrs
Bioinformatician, data scientist/engineer making data accessible & useful, be it in pharma, research, open source or government data.
Citation (CITATION.cff)
# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "BioCor" in publications use:'
type: software
license: MIT
title: 'BioCor: Functional similarities'
version: 1.27.1
abstract: Calculates functional similarities based on the pathways described on KEGG
and REACTOME or in gene sets. These similarities can be calculated for pathways
or gene sets, genes, or clusters and combined with other similarities. They can
be used to improve networks, gene selection, testing relationships...
authors:
- family-names: Revilla Sancho
given-names: Lluís
email: lluis.revilla@gmail.com
orcid: https://orcid.org/0000-0001-9747-2570
repository: https://bioconductor.org/
repository-code: https://github.com/llrs/BioCor
url: https://bioconductor.org/packages/BioCor
contact:
- family-names: Revilla Sancho
given-names: Lluís
email: lluis.revilla@gmail.com
orcid: https://orcid.org/0000-0001-9747-2570
keywords:
- bioconductor-packages
- bioinformatics
- functional-similarity
- gene
- gene-sets
- pathway-analysis
- pathways
- similarity
- similarity-measurement
references:
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
authors:
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location:
name: Vienna, Austria
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institution:
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notes: Imports
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repository: https://bioconductor.org/
authors:
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given-names: Martin
email: mtmorgan.bioc@gmail.com
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given-names: Valerie
- family-names: Lang
given-names: Michel
email: michellang@gmail.com
- family-names: Thompson
given-names: Ryan
email: rct@thompsonclan.org
- family-names: Turaga
given-names: Nitesh
year: '2024'
doi: 10.18129/B9.bioc.BiocParallel
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notes: Imports
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- family-names: Falcon
given-names: Seth
- family-names: Gentleman
given-names: Robert
year: '2024'
doi: 10.18129/B9.bioc.GSEABase
- type: software
title: Matrix
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notes: Imports
url: https://R-forge.R-project.org/tracker/?atid=294&group_id=61
repository: https://CRAN.R-project.org/package=Matrix
authors:
- family-names: Bates
given-names: Douglas
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given-names: Martin
email: mmaechler+Matrix@gmail.com
orcid: https://orcid.org/0000-0002-8685-9910
- family-names: Jagan
given-names: Mikael
orcid: https://orcid.org/0000-0002-3542-2938
year: '2024'
- type: software
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notes: Imports
authors:
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location:
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year: '2024'
institution:
name: R Foundation for Statistical Computing
- type: software
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notes: Suggests
repository: https://bioconductor.org/
authors:
- family-names: Love
given-names: Michael
year: '2024'
doi: 10.18129/B9.bioc.airway
- type: software
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notes: Suggests
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authors:
- family-names: Oleś
given-names: Andrzej
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notes: Suggests
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given-names: Hadley
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year: '2024'
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notes: Suggests
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repository: https://bioconductor.org/
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given-names: Guangchuang
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year: '2024'
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notes: Suggests
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notes: Suggests
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authors:
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notes: Suggests
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- type: software
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repository: https://CRAN.R-project.org/package=testthat
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notes: Suggests
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identifiers:
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"@type": "Organization",
"name": "BioConductor",
"url": "https://www.bioconductor.org"
},
"sameAs": "https://bioconductor.org/packages/release/bioc/html/GSEABase.html"
}
],
"relatedLink": [
"https://llrs.github.io/BioCor/",
"https://bioconductor.org/packages/release/bioc/html/BioCor.html"
],
"releaseNotes": "https://github.com/llrs/BioCor/blob/master/NEWS.md",
"readme": "https://github.com/llrs/BioCor/blob/master/README.md",
"fileSize": "0KB",
"contIntegration": [
"https://travis-ci.org/llrs/BioCor",
"https://ci.appveyor.com/projects/llrs/BioCor",
"https://codecov.io/gh/llrs/BioCor/"
],
"developmentStatus": [
"https://www.repostatus.org/#active",
"https://www.tidyverse.org/lifecycle/#stable"
],
"keywords": [
"similarity-measurement",
"similarity",
"functional-similarity",
"bioinformatics",
"pathway-analysis",
"gene-sets",
"bioconductor-packages",
"gene",
"pathways"
]
}
GitHub Events
Total
- Push event: 4
Last Year
- Push event: 4
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Lluís Revilla | l****a@g****m | 445 |
| Lluís | l****s | 17 |
| Nitesh Turaga | n****a@g****m | 14 |
| Lluís Revilla | l****a@i****s | 13 |
| david mas | d****p@g****m | 2 |
| Herve Pages | h****s@f****g | 2 |
| J Wokaty | j****y@s****u | 2 |
| vobencha | v****n@r****g | 2 |
| vobencha | v****a@g****m | 2 |
| Hervé Pagès | h****s@f****g | 2 |
| J Wokaty | j****y | 2 |
| Martin Morgan | m****n@f****g | 1 |
| LiNk-NY | m****9@g****m | 1 |
| Lori Shepherd | l****d@r****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 29
- Total pull requests: 2
- Average time to close issues: 6 months
- Average time to close pull requests: about 1 hour
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 1.52
- Average comments per pull request: 1.5
- 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
- llrs (28)
Pull Request Authors
- llrs (1)
- davidmasp (1)
Top Labels
Issue Labels
enhancement (18)
bug (5)
question (2)
Bioconductor (1)
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- bioconductor 18,922 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
bioconductor.org: BioCor
Functional similarities
- Homepage: https://bioconductor.org/packages/BioCor https://llrs.github.io/BioCor/
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/BioCor/inst/doc/BioCor.pdf
- License: MIT + file LICENSE
-
Latest release: 1.32.0
published 9 months ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Stargazers count: 7.3%
Average: 16.5%
Forks count: 18.4%
Downloads: 56.9%
Maintainers (1)
Last synced:
6 months ago
Dependencies
.github/workflows/R-CMD-check.yaml
actions
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action 4.1.4 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/update-citation-cff.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION
cran
- R >= 3.4.0 depends
- BiocParallel * imports
- GSEABase * imports
- Matrix * imports
- methods * imports
- BiocStyle * suggests
- DESeq2 * suggests
- GOSemSim * suggests
- Hmisc * suggests
- WGCNA * suggests
- airway * suggests
- boot * suggests
- knitr >= 1.35 suggests
- org.Hs.eg.db * suggests
- reactome.db * suggests
- rmarkdown * suggests
- spelling * suggests
- targetscan.Hs.eg.db * suggests
- testthat * suggests