diff --git a/README.Rmd b/README.Rmd
deleted file mode 100644
index 7eff48b1267d6b473845d288611c79aa60e3ad02..0000000000000000000000000000000000000000
--- a/README.Rmd
+++ /dev/null
@@ -1,97 +0,0 @@
-# VarExp
-
-The R package **VarExp** provides functions for the estimating of the percentage of phenotypic variance explained by genetic effects, interaction effects or jointly by both effects. This suite of functions are useful for meta-analysis designs where pooling individual genotype data is challenging. A pre-print article related to this work is available [here](bioRkiv link)
-
-## Prerequisite
-
-Library [**Rcurl**](https://cran.r-project.org/web/packages/RCurl/index.html) is required to run **VarExp**
-
-## Installation
-
-For now, **VarExp** can be installed only using package source. In R, after setting your working directory to *VarExp_0.1.0.tar.gz* location, type:
-
-```r
-install.packages("VarExp_0.1.0.tar.gz", repos = NULL, type = "source")
-```
-
-## Input format
-
-Two input files are required.
-
-* A file providing the meta-analysis results with the following mandatory columns:
-    + the rs identifier of the variant
-    + the chromosome number on which the variant is
-    + the physical position of the variant (currently in NCBI Build B37)
-    + the tested allele of the variant
-    + the frequency of the allele A0
-    + the regression coefficient of the main genetic effect
-    + the regression coefficient of the interaction effect         
-  
-```{r, echo = FALSE}
-data("GWAS")
-print(GWAS, row.names = FALSE)
-```
-
-* A file providing the summary statistics for the outcome and the exposure in each individual cohort included in the meta-analysis. 
-Mandatory columns of this file are:
-    + the identifier of the cohort
-    + the sample size of the cohort
-    + the phenotype mean in the cohort
-    + the standard deviation of the phenotype in the cohort
-    + the exposure mean in the cohort
-    + the standard deviation of the exposure in the cohort
-
-```{r, echo = FALSE}
-data("COHORT")
-print(COHORT, row.names = FALSE)
-```
-
-Note that in the case of a binary exposure, the two latter columns can be replaced by a single column providing the count of exposed individuals in each cohort.
-
-## Short tutorial
-
-Data used in this tutorial are included in the ***VarExp*** package.
-
-``` r
-# Load the package
-library(VarExp)
-
-# Load the meta-analysis summary statistics file
-data(GWAS)
-
-# Load the cohort description file
-data(COHORT)
-
-# Compute the genotype correlation matrix from the reference panel
-C <- getGenoCorMatrix(GWAS$RSID, GWAS$CHR, GWAS$POS, GWAS$A0, "EUR", pruning = FALSE)
-
-# Make sure SNPs in the GWAS data and in the correlation matrix match
-# Necessary if pruning = TRUE, otherwise should have no effect
-GWAS <- checkInput(GWAS, colnames(C))
-
-# Retrieve mean and variance of the exposure and the phenotype
-# from individual cohort summary statistics
-parsY <- calculateParamsFromIndParams(COHORT$PHENO_N, COHORT$PHENO_Mean, COHORT$PHENO_SD)
-parsE <- calculateParamsFromIndParams(COHORT$PHENO_N, COHORT$EXPO_Mean, COHORT$EXPO_SD)
-
-# Re-scale effect sizes as if estimated in a standardized model
-std_betaG <- standardizeBeta(GWAS$MAIN_EFFECT, GWAS$INT_EFFECT, GWAS$FREQ_A0, parsE[1], parsE[2], type = "G")
-std_betaI <- standardizeBeta(GWAS$MAIN_EFFECT, GWAS$INT_EFFECT, GWAS$FREQ_A0, parsE[1], parsE[2], type = "I")
-
-# Estimation of the fraction of variance explained
-fracG    <- calculateVarFrac(std_betaG, std_betaI, C, parsY[2], sum(COHORT$PHENO_N), "G")
-fracI    <- calculateVarFrac(std_betaG, std_betaI, C, parsY[2], sum(COHORT$PHENO_N), "I")
-fracJ    <- calculateVarFrac(std_betaG, std_betaI, C, parsY[2], sum(COHORT$PHENO_N), "J")
-```
-
-## Bug report / Help
-
-Please open an issue if you find a bug.
-
-## Code of conduct
-
-Please note that this project is released with a [Contributor Code of Conduct](https://github.com/vincenla/VarExp/code-of-conduct.md). By participating in this project you agree to abide by its terms.
-
-## License
-
-This project is licensed under the MIT License - see the [LICENSE.md](https://github.com/vincentla/VarExp/) file for details
\ No newline at end of file