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analyze_run.py

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@@ -184,9 +184,6 @@
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# create df of filtered assigned_signal_norm by applying the NTC check to remove any NTCs whose raw signal suggests contamination
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assigned_signal_norm_with_NTC_check = ntcCheck.ntc_cont(assigned_signal_norm) # feed this into MedianSort
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# collect the samples_list after running NTC Contamination Check, in case NTCs were removed
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#samples_list = assigned_signal_norm_with_NTC_check['sample'].unique()
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# temporarily save assigned_signal_norm_with_NTC_check
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assigned_signal_norm_with_NTC_check.to_csv(os.path.join(rd_subfolder, 'assigned_signal_norm_with_NTC_check.csv'), index=True)
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