qpgraph
Estimate gene and eQTL networks from high-throughput expression and genotyping assays
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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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✓Committers with academic emails
4 of 17 committers (23.5%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Keywords from Contributors
Repository
Estimate gene and eQTL networks from high-throughput expression and genotyping assays
Basic Info
- Host: GitHub
- Owner: rcastelo
- Language: R
- Default Branch: devel
- Size: 9.17 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
qpgraph: Estimate gene and eQTL networks from high-throughput expression and genotyping assays
Current Bioconductor build status
- release 
- development 
Installation
This is the development version of the R/Bioconductor package qpgraph. This version is unstable and should be used only to test new features. If you are looking for the release version of this package please go to its package release landing page at https://bioconductor.org/packages/qpgraph and follow the instructions there to install it.
If you were really looking for this development version, then to install it you need first to install the development version of Bioconductor and then type the following line from the R shell:
r
BiocManager::install("qpgraph", version = "devel")
Alternatively, you can install it from GitHub using the remotes package.
r
install.packages("remotes")
library(remotes)
install_github("rcastelo/qpgraph")
Questions, bug reports and issues
For questions and bug reports regarding the release version of qpgraph please use the Bioconductor support site. For bug reports and issues regarding this development version of qpgraph please use the GitHub issues tab at the top-left of this page.
Contributing
Contributions to the software codebase of qpgraph are welcome as long as contributors abide to the terms of the Bioconductor Contributor Code of Conduct. If you want to contribute to the development of qpgraph please open an issue to start discussing your suggestion or, in case of a bugfix or a straightforward feature, directly a pull request.
Funding
This software project is supported in part by the Spanish Ministry of Science, Innovation and Universities.
Owner
- Name: Robert Castelo
- Login: rcastelo
- Kind: user
- Location: Barcelona
- Company: Universitat Pompeu Fabra
- Website: https://functionalgenomics.upf.edu
- Twitter: robertclab
- Repositories: 15
- Profile: https://github.com/rcastelo
biostatistics, machine learning, genetics, genomics, R/Bioconductor
GitHub Events
Total
- Issues event: 1
- Watch event: 2
- Issue comment event: 1
- Push event: 9
- Create event: 1
Last Year
- Issues event: 1
- Watch event: 2
- Issue comment event: 1
- Push event: 9
- Create event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Robert Castelo | r****o@u****u | 250 |
| Dan Tenenbaum | d****a@f****g | 26 |
| [rcastelo] | [****o@u****] | 16 |
| Nitesh Turaga | n****a@g****m | 14 |
| Patrick Aboyoun | u****n | 9 |
| Herve Pages | h****s@f****g | 7 |
| Hervé Pagès | h****s@f****g | 2 |
| J Wokaty | j****y | 2 |
| vobencha | v****a@g****m | 2 |
| Martin Morgan | m****n@f****g | 2 |
| J Wokaty | j****y@s****u | 2 |
| vobencha | v****n@r****g | 2 |
| Paul Shannon | p****n@f****g | 1 |
| LiNk-NY | m****9@g****m | 1 |
| Marc Carlson | m****n@f****g | 1 |
| Sonali Arora | s****a@f****g | 1 |
| Michael Lawrence | l****i@i****u | 1 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
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Total downloads:
- bioconductor 62,355 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
bioconductor.org: qpgraph
Estimation of Genetic and Molecular Regulatory Networks from High-Throughput Genomics Data
- Homepage: https://github.com/rcastelo/qpgraph
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/qpgraph/inst/doc/qpgraph.pdf
- License: GPL (>= 2)
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Latest release: 2.42.0
published about 1 year ago