Minsu Kim/python/Rosalind

function

def patterncount(text, pattern):
    count=0
    for i in range(0,len(text)):
        if(text[i:len(pattern)+i]==pattern):
            count += 1
    return count

def complementing(sequence):
    sequence = sequence[::-1]
    text = list(sequence)
    for i in range(0,len(text)):
        if text[i] == 'A':
            text[i] = 'T'
        elif text[i] == 'G':
            text[i] = 'C'
        elif text[i] == 'C':
            text[i] = 'G'
        elif text[i] == 'T':
            text[i] = 'A'
        
    s = ''.join(text)
    print(s)
    return 0

rosalind transcript basic

f = open('rosalind_rna.txt')
a = f.readline()
f.close

text = list(a)

for i in range(0,len(text)):
    if text[i] == 'T':
        text[i] = 'U'
a = ''.join(text)

print(a)

f = open('rosalind_revc2.txt','r')
b = f.readline()
f.close

b = b[::-1]
text = list(b)

for i in range(0,len(text)):
    if text[i] == 'A':
        text[i] = 'T'
    elif text[i] == 'G':
        text[i] = 'C'
    elif text[i] == 'C':
        text[i] = 'G'
    elif text[i] == 'T':
        text[i] = 'A'
        
b = ''.join(text)

print(b)

Computing CG Content

f_fa = open('rosalind_gc.txt','r')
seq_list = dict()
for line in f_fa:
    if line.startswith('>'):
        name = line.strip('>').strip()
        seq_list[name] = ''
    else:
        seq_list[name]= line.strip()
f_fa.close()

seq_CG = dict()
for k in seq_list:
    count = 0
    s = seq_list[k]
    s = list(s)
    for i in range(0,len(s)):
        if s[i] == 'C' or s[i] == 'G':
            count = count + 1
    p = count / len(s)
    seq_CG[k] = p

inverse = [(value, key) for key, value in seq_CG.items()]
max(inverse)

import matplotlib.pyplot as plt

seq_list = []
f_fa = open('Ecoli_genome.fasta', 'r')
for line in f_fa:
    if not line.startswith('>'):
        seq_list.append(line.strip())
tmp_seq = ''.join(seq_list)

count_G = 0
count_C = 0
count_list = []
for tmp_n in tmp_seq:
    if tmp_n == 'G':
        count_G += 1
    if tmp_n == 'C':
        count_C += 1
    count_list.append(count_G-count_C)

pos_list = range(0,len(tmp_seq))

fig = plt.figure(figsize = (10,6))
ax1 = fig.add_subplot(1,1,1)
ax1.plot(pos_list, count_list, 'b-')
ax1.grid()
plt.show()
f_fa.close()