diff --git a/CpGenie/model-template.yaml b/CpGenie/model-template.yaml
index 47599fa72..fbbaf1fc7 100644
--- a/CpGenie/model-template.yaml
+++ b/CpGenie/model-template.yaml
@@ -17,7 +17,7 @@ info:
         github: krrome
   name: CpGenie
   version: 0.1
-  trained_on: "Samples from Chromosome 1–9 and 14–22 were used for training, 12–13 were used for hyper-parameter tuning and model selection, and the rest of the data were held-out for testing. In the analysis of variant-prediction, only meQTL and allele-specific methylation data from the held-out chromosome 10 and 11 were used. The 50 RRBS datasets of immortal cell lines, including GM12878, and the WGBS dataset of GM12878 were downloaded from ENCODE website (https://www.encodeproject.org/)."
+  trained_on: "Samples from Chromosome 1-9 and 14-22 were used for training, 12-13 were used for hyper-parameter tuning and model selection, and the rest of the data were held-out for testing. In the analysis of variant-prediction, only meQTL and allele-specific methylation data from the held-out chromosome 10 and 11 were used. The 50 RRBS datasets of immortal cell lines, including GM12878, and the WGBS dataset of GM12878 were downloaded from ENCODE website (https://www.encodeproject.org/)."
   doc: >
     Abstract:
     DNA methylation plays a crucial role in the establishment of tissue-specific
diff --git a/DeepSEA/predict/model.yaml b/DeepSEA/predict/model.yaml
index 221dea227..3b4296f26 100644
--- a/DeepSEA/predict/model.yaml
+++ b/DeepSEA/predict/model.yaml
@@ -31,7 +31,7 @@ info:
     size and 4 nucleotides. Per sample, 919 probabilities of a
     specific epigentic feature will be predicted. 
   cite_as: https://doi.org/10.1038/nmeth.3547
-  trained_on: "Chromosome 8 and 9 were excluded from training, and the rest of the autosomes were used for training and validation. 4,000 samples on chromosome 7 spanning the genomic coordinates 30,508,751–35,296,850 were used as the validation set. Data were ENCODE and Roadmap Epigenomics chromatin profiles https://www.nature.com/articles/nmeth.3547#methods"
+  trained_on: "Chromosome 8 and 9 were excluded from training, and the rest of the autosomes were used for training and validation. 4,000 samples on chromosome 7 spanning the genomic coordinates 30,508,751-35,296,850 were used as the validation set. Data were ENCODE and Roadmap Epigenomics chromatin profiles https://www.nature.com/articles/nmeth.3547#methods"
   training_procedure: https://www.nature.com/articles/nmeth.3547#methods
   tags:
     - Histone modification
diff --git a/DeepSEA/variantEffects/model.yaml b/DeepSEA/variantEffects/model.yaml
index a061d10a1..c981ef338 100644
--- a/DeepSEA/variantEffects/model.yaml
+++ b/DeepSEA/variantEffects/model.yaml
@@ -29,7 +29,7 @@ info:
     size and 4 nucleotides. Per sample, 919 probabilities of a
     specific epigentic feature will be predicted. 
   cite_as: https://doi.org/10.1038/nmeth.3547
-  trained_on: "Chromosome 8 and 9 were excluded from training, and the rest of the autosomes were used for training and validation. 4,000 samples on chromosome 7 spanning the genomic coordinates 30,508,751–35,296,850 were used as the validation set. Data were ENCODE and Roadmap Epigenomics chromatin profiles https://www.nature.com/articles/nmeth.3547#methods"
+  trained_on: "Chromosome 8 and 9 were excluded from training, and the rest of the autosomes were used for training and validation. 4,000 samples on chromosome 7 spanning the genomic coordinates 30,508,751-35,296,850 were used as the validation set. Data were ENCODE and Roadmap Epigenomics chromatin profiles https://www.nature.com/articles/nmeth.3547#methods"
   training_procedure: https://www.nature.com/articles/nmeth.3547#methods
   tags:
     - Histone modification
@@ -75,4 +75,4 @@ test:
   expect:
     url: https://s3.eu-central-1.amazonaws.com/kipoi-models/predictions/14f9bf4b49e21c7b31e8f6d6b9fc69ed88e25f43/DeepSEA/variantEffects/predictions.h5
     md5: 365924f5d7f3372ef57721f2742192f9
-  precision_decimal: 6
\ No newline at end of file
+  precision_decimal: 6