diff --git a/DESCRIPTION b/DESCRIPTION
index 8b0e60cd..c66fe72b 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: GenomicDistributions
-Version: 1.11.0
-Date: 2023-05-23
+Version: 1.11.1
+Date: 2024-04-26
 Title: GenomicDistributions: fast analysis of genomic intervals with Bioconductor
 Description: If you have a set of genomic ranges, this package can help you with
  visualization and comparison. It produces several kinds of plots, for example:
diff --git a/NAMESPACE b/NAMESPACE
index 6be9b969..e24cde76 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -47,7 +47,6 @@ import(dplyr)
 import(ggplot2)
 importFrom(Biostrings,alphabetFrequency)
 importFrom(Biostrings,readDNAStringSet)
-importFrom(Biostrings,type)
 importFrom(GenomicRanges,GRanges)
 importFrom(GenomicRanges,GRangesList)
 importFrom(GenomicRanges,elementMetadata)
diff --git a/R/package.R b/R/package.R
index ca5c22a6..8f7b2beb 100644
--- a/R/package.R
+++ b/R/package.R
@@ -22,7 +22,7 @@
 #'             tstrsplit as.data.table foverlaps
 #' @importFrom reshape2 melt
 #' @importFrom IRanges IRanges Views
-#' @importFrom Biostrings alphabetFrequency type
+#' @importFrom Biostrings alphabetFrequency
 #' @importFrom methods is
 #' @importFrom stats chisq.test
 #' @importFrom utils installed.packages getAnywhere data globalVariables download.file
@@ -66,7 +66,7 @@ if(getRversion() >= "2.15.1") {
         "i.start", "minEnd", "i.end", "overlap", "gene_biotype", "dinucleotide",
         "frequency", "L1", "V4", "colName", "i", "j", ".x", "lowerColorColumn",
         "midpoint", "ubinID", "x.binID", "x.start", "x.end", "FreqPercent",
-        "Chi.square.pval", "score"))
+        "Chi.square.pval", "score", "type"))
 }