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qtlpoly

R package for random-effect multiple QTL mapping in autopolyploids

https://github.com/gabrielgesteira/qtlpoly

Science Score: 23.0%

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    Found 11 DOI reference(s) in README
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    Links to: springer.com
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    Low similarity (13.4%) to scientific vocabulary

Keywords

polyploid qtl-mapping
Last synced: 6 months ago · JSON representation

Repository

R package for random-effect multiple QTL mapping in autopolyploids

Basic Info
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Fork of guilherme-pereira/QTLpoly
Topics
polyploid qtl-mapping
Created over 4 years ago · Last pushed 6 months ago
Metadata Files
Readme

README.md

rTravis Build Status Development License: GPL v3 CRAN_Status_Badge R-universe PolyVerse Status Badge CRAN_monthly_downloads

QTLpoly

The R package qtlpoly (v. 0.2.4) is an under development software to map quantitative trait loci (QTL) in full-sib families of outcrossing autopolyploid species based on a random-effect multiple QTL model (Pereira et al. 2020).

In order to do so, you will need a genetic map from which conditional probabilities of putative QTL can be computed. We recommend mappoly, a hidden Markov model-based R package to construct genetic maps in autopolyploids (Mollinari and Garcia 2019).

Variance components associated with putative QTL are tested using score statistics (Qu et al. 2013), and final models are fitted using residual maximum likelihood (REML, adapted from the R package sommer). Plots for visualizing the results are based on ggplot2 (v. 3.1 or higher) (Wickham 2016).

Install qtlpoly package

From CRAN (stable version)

qtlpoly's stable version is available on the Comprehensive R Archive Network (CRAN). You can install it by running:

r install.packages("qtlpoly")

From Github (development version)

qtlpoly's development version is available here on Github. You can install it using the R package devtools:

r install.packages("devtools") devtools::install_github("gabrielgesteira/qtlpoly")

If you are using Windows, you may need to first install the latest recommended version of Rtools.

Documents

Tutorials as well as simulated and real data set analyses will be listed here in order to help users to get familiar with the software and allow them to perform their own analyses:

  1. Tutorial on Multiple QTL Mapping in Autopolyploids with QTLpoly
  2. Tools for Polyploids training section: Multiple QTL Mapping in an Autotetraploid F1 population with QTLpoly

Related software

Acknowledgments

This package has been developed as part of the Genomic Tools for Sweetpotato Improvement (GT4SP) and SweetGAINS projects, both funded by Bill & Melinda Gates Foundation.

References

Covarrubias-Pazaran G. 2016. “Genome-assisted prediction of quantitative traits using the R package sommer.” PLoS ONE 11 (6): 1-15. doi:10.1371/journal.pone.0156744.

Mollinari M, Garcia AAF. 2019. “Linkage analysis and haplotype phasing in experimental autopolyploid populations with high ploidy level using hidden Markov models.” G3: Genes, Genomes, Genetics 9 (10): 3297-3314. doi:10.1534/g3.119.400378.

Pereira GS, Gemenet DC, Mollinari M, Olukolu BA, Wood JC, Mosquera V, Gruneberg WJ, Khan A, Buell CR, Yencho GC, Zeng ZB. 2020. “Multiple QTL mapping in autopolyploids: a random-effect model approach with application in a hexaploid sweetpotato full-sib population.” Genetics 215 (3): 579-595. doi:10.1534/genetics.120.303080.

Qu L, Guennel T, Marshall SL. 2013. “Linear score tests for variance components in linear mixed models and applications to genetic association studies.” Biometrics 69 (4): 883-892.

Wickham H. 2016. “ggplot2: Elegant Graphics for Data Analysis.” Springer. doi:10.1007/978-0-387-98141-3.

Owner

  • Name: Gabriel Gesteira
  • Login: gabrielgesteira
  • Kind: user
  • Location: Raleigh, NC
  • Company: North Carolina State University

Postdoctoral Research Scholar at NCSU

GitHub Events

Total
  • Issues event: 4
  • Watch event: 1
  • Issue comment event: 7
  • Push event: 4
  • Pull request event: 1
Last Year
  • Issues event: 4
  • Watch event: 1
  • Issue comment event: 7
  • Push event: 4
  • Pull request event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 151
  • Total Committers: 6
  • Avg Commits per committer: 25.167
  • Development Distribution Score (DDS): 0.616
Past Year
  • Commits: 11
  • Committers: 3
  • Avg Commits per committer: 3.667
  • Development Distribution Score (DDS): 0.364
Top Committers
Name Email Commits
Guilherme Pereira g****a 58
“gabrielgesteira” g****a@g****m 42
Guilherme Pereira g****b@g****m 32
“gabrielgesteira” “****a@g****” 16
Getulio Caixeta Ferreira g****r@g****m 2
cristianetaniguti c****i@g****m 1
Committer Domains (Top 20 + Academic)
gmail.com”: 1

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 2
  • Total pull requests: 5
  • Average time to close issues: 4 months
  • Average time to close pull requests: 7 days
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 2.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 2
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 11 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 2.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jeekinlau (4)
Pull Request Authors
  • gabrielgesteira (3)
  • gcaifer (2)
  • jeekinlau (1)
  • Cristianetaniguti (1)
Top Labels
Issue Labels
bug (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 271 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: qtlpoly

Random-Effect Multiple QTL Mapping in Autopolyploids

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 271 Last month
Rankings
Forks count: 17.8%
Stargazers count: 24.2%
Dependent packages count: 29.8%
Average: 35.0%
Dependent repos count: 35.5%
Downloads: 67.6%
Maintainers (1)
gdesiqu@ncsu.edu
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0 depends
  • CompQuadForm * imports
  • MASS >= 7.3 imports
  • Matrix * imports
  • RLRsim * imports
  • Rcpp >= 0.12.19 imports
  • abind >= 1.4 imports
  • ggplot2 >= 3.1 imports
  • gtools >= 3.9.2 imports
  • methods * imports
  • mvtnorm * imports
  • nlme * imports
  • parallel * imports
  • quadprog * imports
  • stats * imports
  • devtools * suggests
  • knitr * suggests
  • mappoly * suggests
  • rmarkdown * suggests