216 -> 217 assays

R/dms_substitutions.R

@@ -6,7 +6,7 @@
 #' Default behavior is to return processed data with metadata included.
 #'
 #' @details `dms_substitutions()` loads in ProteinGym deep mutational scanning 
-#'     assays (DMS) scores for substitutions in 216 studies. The data is 
+#'     assays (DMS) scores for substitutions in 217 studies. The data is 
 #'     provided by Notin et. al 2023. See reference for details.
 #' 
 #' Each assay includes 6 columns:
@@ -25,7 +25,7 @@
 #'    above the fitness cutoff (1 is fit, 0 is not fit).}
 #'}
 #'
-#' @return Returns a [list()] object of 216 individual assays.
+#' @return Returns a [list()] object of 217 individual assays.
 #'
 #' @references
 #' Notin, P., Kollasch, A., Ritter, D., van Niekerk, L., Paul, S., Spinner, H., 

README.md

@@ -7,7 +7,7 @@ The `ProteinGymR` package provides analysis-ready data resources from
 2023](https://proceedings.neurips.cc/paper_files/paper/2023/hash/cac723e5ff29f65e3fcbb0739ae91bee-Abstract-Datasets_and_Benchmarks.html). ProteinGym 
 comprises a collection of benchmarks for evaluating the performance of models 
 predicting the effect of point mutations. This package provides access to two 
-datasets: 1. Deep mutational scanning (DMS) scores from 216 assays measuring
+datasets: 1. Deep mutational scanning (DMS) scores from 217 assays measuring
 the impact of all possible amino acid substitutions across 186 proteins, and 2.
 AlphaMissense pathogenicity scores for ~1.6 M substitutions in the ProteinGym 
 DMS data.