def calculate_signal_peptide_features_table(all_scale_tables, all_sequences):
result = []
for item in all_sequences:
line = []
accession = item[0]
signal_seq = item[1]
rest_seq = item[2]
line.append(accession)
line.append(signal_seq)
line.append(rest_seq)
for scale in all_scale_tables:
table = all_scale_tables[scale]
scale_signal_seq = calc_scale(signal_seq, table)
scale_rest_seq = calc_scale(rest_seq, table)
line.append(scale_signal_seq)
line.append(scale_rest_seq)
result.append(line)
del line
return result
def calc_min_max_scale_value(sequence,table):
min_window_size = 9
min_scale_signal_seq = 10000
max_scale_signal_seq = -10000
if (len(sequence)<=min_window_size):
return 0,0
for window_size in range(min_window_size, len(sequence)+1):
for window_start in range(0,len(sequence)+1-window_size):
window_end = window_start + window_size
seq = sequence[window_start:window_end]
value = calc_scale(seq, table)
if (value > max_scale_signal_seq):
max_scale_signal_seq = value
if (value < min_scale_signal_seq):
min_scale_signal_seq = value
return min_scale_signal_seq,max_scale_signal_seq