Correlation Trait Loci (CTL) mapping
Correlation Trait Loci (CTL) mapping: phenotype network inference subject to genotype - Published in JOSS (2016)
Science Score: 93.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 11 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Repository
Correlated Trait Locus (CTL) mapping
Basic Info
- Host: GitHub
- Owner: DannyArends
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: http://www.mapctl.org
- Size: 12.9 MB
Statistics
- Stars: 5
- Watchers: 3
- Forks: 4
- Open Issues: 0
- Releases: 5
Topics
Metadata Files
README.md
Correlated Trait Locus (CTL) mapping
This repository contains the source code for the Correlated Trait Locus (CTL) mapping algorithm. CTL mapping is a novel approach to detect genetic regulation of phenotypes in natural and experimental populations. It is a method which complements classical QTL analysis, providing additional insights overlooked by the classical QTL approach.
Algorithm
Learn more about the algorithm behind CTL mapping. Alternatively, learn more about CTL mapping by following the workshop I presented at the complex traits consortium meeting in Glasgow to demonstrate CTL mapping on an example data set. The presentation and code can be found on my website
Installing the R package from CRAN
The quickest and prefered way to start mapping CTLs, is to install the package directly from CRAN, start R and issue the following command to install the package:
R
install.packages("ctl")
After installation, load the package by:
R
library("ctl")
Next thing is to map your first CTL on either example data or your own data. For this see: doc/STARTINGinR.md
Sometimes it is needed to install a develpoment version, since CRAN might take a while to update after a bug is fixed. To learn how to install a development version see: doc/DEVELOPMENT.md
Test
CTL mapping uses the build in R framework to test the package for global regressions and unit-testing of documented functions. Tests can be executed from the commandline, by using the following command:
R CMD check Rctl # Run the unit-tests of the R package
Make sure that when running the tests using MS Windows the Rtools package is installed. Rtools for MS Windows can be installed from here
Documentation
A short online introduction is available, or learn by doing by following the workshop on CTL mapping, which can be found here. Additionally almost all R function come with a help files with examples. In R you can access the help using:
R
library(ctl) # Load the library
?ctl # Show the general help for ctl
?CTLscan # Show the help for the CTLscan function
Issues
Issues can be raised through the github issue tracker.
Contributing
Want to contribute? Great! We're actively looking for someone to manage the CTL website www.mapctl.org
Contribute to CTL source code by forking the Github repository, and sending us pull requests.
For a list of active developments tasks, see Rctl/inst/TODO.txt
Its also possible to just post comments on code / commits.
Or be a maintainer, and adopt a function
Cite
When this software was helpful, please cite the JOSS paper in your publication:
When (re-)using the any code or data provided by this package, please also cite:
License
The CTL mapping source code is released under the GNU GENERAL PUBLIC LICENSE Version 3 (GPLv3). See LICENSE.txt.
This software was developed between 2012-2016 at the Groningen Bioinformatics Centre by Danny Arends, Yang Li, Pjotr Prins and Ritsert C. Jansen
Contact
Code managed by Dr. Danny Arends and the Groningen Bioinformatics Centre, Groningen, NLD.
Owner
- Name: Danny Arends
- Login: DannyArends
- Kind: user
- Location: Newcastle upon Tyne - UK
- Company: Northumbria University
- Website: https://www.dannyarends.nl
- Twitter: DannyArends
- Repositories: 53
- Profile: https://github.com/DannyArends
World-class geneticist, Lecturencer, ESPRIT Fanboy, and Associate Professor in Bioinformatics at Northumbria University.
JOSS Publication
Correlation Trait Loci (CTL) mapping: phenotype network inference subject to genotype
Authors
Editor
George GithinjiTags
bioinformatics genetics genomicsGitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| DannyArends | D****s@g****m | 855 |
| Pjotr Prins | p****1@t****l | 37 |
| Arfon Smith | a****n | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 17
- Total pull requests: 12
- Average time to close issues: 3 months
- Average time to close pull requests: 4 days
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 0.71
- Average comments per pull request: 0.17
- Merged pull requests: 12
- 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
- DannyArends (14)
- byandell (1)
- thkhavi (1)
- pjotrp (1)
Pull Request Authors
- pjotrp (7)
- DannyArends (3)
- arfon (1)
- richelbilderbeek (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- MASS * depends
- R >= 2.10 depends
- parallel * depends
- qtl * depends
