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6 changes: 5 additions & 1 deletion methylprep/files/sample_sheets.py
Original file line number Diff line number Diff line change
Expand Up @@ -499,6 +499,7 @@ def build_meta_data(self, samples = None):
cols = list(self.fields.values()) + ['Sample_ID']
meta_frame = pd.DataFrame(columns=cols)
# row contains the renamed fields, and pulls in the original data from sample_sheet
rows = []
for sample in samples:
row = {}
for field in self.fields.keys():
Expand All @@ -511,5 +512,8 @@ def build_meta_data(self, samples = None):
# add the UID that matches m_value/beta value pickles
#... unless there's a GSM_ID too
row['Sample_ID'] = f"{row['Sentrix_ID']}_{row['Sentrix_Position']}"
meta_frame = meta_frame.append(row, ignore_index=True)
rows.append(row)

meta_frame = pd.DataFrame(columns=cols, data=rows)

return meta_frame
7 changes: 4 additions & 3 deletions methylprep/processing/infer_channel_switch.py
Original file line number Diff line number Diff line change
Expand Up @@ -168,8 +168,8 @@ def get_infer_channel_probes(manifest, green_idat, red_idat, debug=False):
green_in_band['unmeth'] = oobR_meth

# next, add the green-in-band to oobG and red-in-band to oobR
oobG_IG = oobG.append(green_in_band).sort_index()
oobR_IR = oobR.append(red_in_band).sort_index()
oobG_IG = pd.concat([oobG, green_in_band]).sort_index()
oobR_IR = pd.concat([oobR, red_in_band]).sort_index()

# channel swap requires a way to update idats with illumina_ids
lookupIR = probe_details_IR.merge(
Expand All @@ -186,7 +186,8 @@ def get_infer_channel_probes(manifest, green_idat, red_idat, debug=False):
right_index=True,
suffixes=(False, False),
)[['AddressA_ID','AddressB_ID']]
lookup = lookupIG.append(lookupIR).sort_index()
#lookup = lookupIG.append(lookupIR).sort_index()
lookup = pd.concat([lookupIG, lookupIR]).sort_index()

if debug:
return {'green': oobG_IG, 'red': oobR_IR, 'oobG': oobG, 'oobR':oobR, 'IG': green_in_band, 'IR': red_in_band, 'lookup': lookup}
Expand Down