knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
RILStEp(Recombinant Inbred Lines Stepwise Epistasis analysis) package is the epistasis analysis tool.
This package enables to detect the epistatic relationships between SNPs for RIL population by comparison of 2 models based on bayes factor.
publication: https://doi.org/10.1093/g3journal/jkab130
Other than CRAN package, GWASpoly
package is required for RILStEp package.
please download zip files from here
and install install.packages("GWASpoly_download/GWASpoly_1.3.tar.gz", repos = NULL, type = "source")
or install.packages("GWASpoly_download/GWASpoly_1.3.zip", repos = NULL, type = "source")
You can install RILStEp from GitHub with:
# install.packages("devtools") devtools::install_github("slt666666/RILStEp")
This is a basic example script:
library(RILStEp) ### loading dataset loaded_data <- load_data("phenotype.csv", "genotype.csv", "trait1") ### check all combinations of 2 SNPs result1 <- rilstep(loaded_data, "result1", core_num = 8) ### using 1 SNP in each 500 SNPs result2 <- rilstep(loaded_data, "result2", interval = 500) ### specify QTL-like SNPs by user. result3 <- rilstep(loaded_data, "result3", qtls = c("chr08_19928351", "chr09_3909046")) ### using SNPs in specific regions result4 <- rilstep(loaded_data, "result4", region = c("chr03_2132221:chr10_9330401", "chr03_2132221:chr10_9330401")) ### consider heterozygous result5 <- rilstep(loaded_data, "result5", heterozygous = TRUE) ### example result6 <- rilstep(loaded_data, "result6", interval = 500, region = c("chr03_2132221:chr10_9330401", "chr03_2132221:chr10_9330401"), core_num = 8)
option region=c()
can specify regions. rilstep check all combinations of SNPs in specified regions.
region = c("chr03_1234") # chr03_1234 x all SNPs region = c("chr03_1234:chr10_5678") # chr03_1234 ~ chr10_5678 x all SNPs region = c("chr03_1234", "chr10_5678") # chr03_1234 x chr10_5678 region = c("chr03_1234:chr10_5678", "chr04_9012:chr7_3456") # chr03_1234~chr10_5678 x chr04_9012~chr7_3456
input files should be csv format.
phenotype data
| Name | trait1 | ----|---- | Sample1 | 12.3 | | Sample2 | 23.4 | | ... | ... | | SampleXX | 78.9 |
genotype data
| Marker | Chrom | Position | Sample1 | Sample2 | ... | SampleXX | ----|----|----|----|----|----|---- | 1 | chr01 | 1234 | 2 | 2 | ... | 2 | | 2 | chr01 | 3456 | 2 | 0 | ... | 0 | | 3 | chr01 | 9999 | 0 | 0 | ... | 1 | | ... | ... | ... | ... | ... | ... | | XXX | chr12 | 4869786 | 0 | 0 | ... | 2 |
marker coded as {0,1,2} = {AA,AB,BB}
A, B: each parental genotype
!! Only bi-allelic markers are allowed !!
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