requirements.txt

requirements.txt

@@ -10,9 +10,9 @@ seaborn~=0.13.0
 pyopenms~=3.1.0
 dlomix~=0.0.6
 scikit-learn~=1.4.1.post1
-
 Levenshtein~=0.25.0
 keras~=2.15.0
+tensorflow~=2.15.0.post1
+pillow~=10.2.0
 nibabel~=5.2.1
-nilearn~=0.10.4
-Pillow~=10.1.0
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+nilearn~=0.10.4
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seq_cutting.py

@@ -22,7 +22,7 @@ ALPHABET_UNMOD = {
 }
 
 
-# trypsin cut after A or L (if not followed by P)
+# trypsin cut after K or R (if not followed by P)
 
 def cut(seq, format):
     cuts = []
@@ -52,3 +52,7 @@ def cut_with_ind(seq, ind_list):
         l.append(seq[ind_list[i]:ind_list[i + 1]])
 
     return l
+
+def digest(seq, format):
+    ind = cut(seq, format)
+    return cut_with_ind(seq, ind)
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