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supercat666
commited on
Commit
•
45a0b21
1
Parent(s):
fe2a0c6
fix
Browse files
cas9on.py
CHANGED
@@ -208,9 +208,14 @@ def create_bigwig(df, bigwig_path):
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if not all(column in df.columns for column in ["Chr", "Start Pos", "End Pos", "Prediction"]):
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raise ValueError("DataFrame must contain 'Chr', 'Start Pos', 'End Pos', and 'Prediction' columns.")
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-
# Convert positions to integers
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df['Start Pos'] = df['Start Pos'].astype(int)
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df['End Pos'] = df['End Pos'].astype(int)
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chr_sizes = df.groupby('Chr')['End Pos'].max().to_dict()
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header = [(chr, int(size)) for chr, size in chr_sizes.items()]
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@@ -219,8 +224,12 @@ def create_bigwig(df, bigwig_path):
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bw.addHeader(header)
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# Add entries to the BigWig file
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for
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# Close the BigWig file
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bw.close()
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if not all(column in df.columns for column in ["Chr", "Start Pos", "End Pos", "Prediction"]):
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raise ValueError("DataFrame must contain 'Chr', 'Start Pos', 'End Pos', and 'Prediction' columns.")
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+
# Convert positions to integers
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df['Start Pos'] = df['Start Pos'].astype(int)
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df['End Pos'] = df['End Pos'].astype(int)
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# Sort the DataFrame by chromosome and start position
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df = df.sort_values(by=['Chr', 'Start Pos'])
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# Prepare the BigWig header
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chr_sizes = df.groupby('Chr')['End Pos'].max().to_dict()
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header = [(chr, int(size)) for chr, size in chr_sizes.items()]
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bw.addHeader(header)
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# Add entries to the BigWig file
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for chr, group in df.groupby('Chr'):
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starts = group['Start Pos'].tolist()
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ends = group['End Pos'].tolist()
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values = group['Prediction'].astype(float).tolist()
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bw.addEntries(chr, starts, ends=ends, values=values)
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# Close the BigWig file
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bw.close()
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