0 user reviews
0 user reviews
Already have an account? Sign in to review this tool.
No review has been posted.
No open topic.
- Software type:
- Restrictions to use:
- Input format:
- TXT, CSV
- GNU General Public License version 3.0
- Source code URL:
- Web user interface
- Input data:
- A coded additive genotype data file, a coded dominance genotype data file and a quantative marker related phenotypic file
- Programming languages:
- C, C++
- Computer skills:
(Zhang et al., 2016) PEPIS: A Pipeline for Estimating Epistatic Effects in Quantitative Trait Locus Mapping and Genome-Wide Association Studies. PLOS Computational Biology.
Plant Biology Division, Samuel Roberts Noble Foundation, Ardmore, OK, USA; School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, People’s Republic of China; Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, USA
This work was supported by the Samuel Roberts Noble Foundation and the National Science Foundation collaborative research grant awards (DBI- 1458597 and DBI-1458515).
Link to literature
Related Epistasis detection tools
Can render the search for epistasis universally viable in terms of hardware…
Can render the search for epistasis universally viable in terms of hardware availability, cost and computational time. epiGPU is limited to performing linear regression on quantitative traits, but…
Obtains the significance of a multi-locus model, even a high-order model…
Obtains the significance of a multi-locus model, even a high-order model through a regression framework with a semi-parametric correction procedure for controlling Type I error rates. UM-MDR avoids…
Takes non-hierarchical models, inheritance modes and mode coding direction into…
Takes non-hierarchical models, inheritance modes and mode coding direction into consideration. SIPI can intensively and effectively search pairwise SNP–SNP interactions. It detects 45 interaction…
Detects epistatic relationships between genes. MDR is a nonparametric and…
Detects epistatic relationships between genes. MDR is a nonparametric and genetic model-free data mining alternative to logistic regression for detecting and characterizing nonlinear interactions…