Delete Intersection_BS_seq_with_Tools.py

Intersection_BS_seq_with_Tools.py

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-import pandas as pd
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-# Charger les fichiers bed des outils :
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-# Charger les fichiers de données dans des DataFrames pandas
-dsp = pd.read_csv("C:\\Users\\SCD UM\\Desktop\\methylation_frequency\\Intersection\\MET1_DSP_.bed", names=["chromosome", "start", "end"])
-megalodon = pd.read_csv("C:\\Users\\SCD UM\\Desktop\\methylation_frequency\\Intersection\\MET1_Megalodon_.bed", names=["chromosome", "start", "end"])
-tombo = pd.read_csv("C:\\Users\\SCD UM\\Desktop\\methylation_frequency\\Intersection\\MET1_Tombo_.bed", names=["chromosome", "start", "end"])
-bs_seq= pd.read_csv("C:\\Users\\SCD UM\\Desktop\\methylation_frequency\\Intersection\\BS_seq_met1.bed", names=["chromosome", "start", "end"])
-# Faire l'intersection des fichiers en utilisant merge avec how='inner'
-intersection_df = dsp.merge(megalodon, on=['chromosome', 'start', 'end']).merge(tombo, on=['chromosome', 'start', 'end']).merge(bs_seq, on=['chromosome', 'start', 'end'])
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-# Enregistrer les résultats de l'intersection au format CSV
-intersection_df.to_csv("C:\\Users\\SCD UM\\Desktop\\methylation_frequency\\Intersection\\resultats_intersection_with_bs_seq.bed", header=False, sep='\t', index=False)
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