-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathdna.py
80 lines (63 loc) · 2.15 KB
/
dna.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
import pandas as pd
import streamlit as st
import altair as alt
from PIL import Image
image=Image.open('dna-logo.jpg')
st.image(image, use_column_width=True)
st.write("""
# DNA Nucleotide Count Web App
This app counts the nucleotide composition of query DNA!
***
""")
st.header('Enter DNA sequence')
sequence_input = ">DNA Query 2\nGAACACGTGGAGGCAAACAGGAAGGTGAAGAAGAACTTATCCTATCAGGACGGAAGGTCCTGTGCTCGGG\nATCTTCCAGACGTCGCGACTCTAAATTGCCCCCTCTGAGGTCAAGGAACACAAGATGGTTTTGGAAATGC\nTGAACCCGATACATTATAACATCACCAGCATCGTGCCTGAAGCCATGCCTGCTGCCACCATGCCAGTCCT"
#sequence = st.sidebar.text_area("Sequence input", sequence_input, height=250)
sequence = st.text_area("Sequence input", sequence_input, height=250)
sequence = sequence.splitlines()
sequence = sequence[1:] # Skips the sequence name (first line)
sequence = ''.join(sequence) # Concatenates list to string
st.write("""
***
""")
## Prints the input DNA sequence
st.header('INPUT (DNA Query)')
sequence
## DNA nucleotide count
st.header('OUTPUT (DNA Nucleotide Count)')
### 1. Print dictionary
st.subheader('1. Print dictionary')
def DNA_nucleotide_count(seq):
d = dict([
('A',seq.count('A')),
('T',seq.count('T')),
('G',seq.count('G')),
('C',seq.count('C'))
])
return d
X = DNA_nucleotide_count(sequence)
#X_label = list(X)
#X_values = list(X.values())
X
### 2. Print text
st.subheader('2. Print text')
st.write('There are ' + str(X['A']) + ' adenine (A)')
st.write('There are ' + str(X['T']) + ' thymine (T)')
st.write('There are ' + str(X['G']) + ' guanine (G)')
st.write('There are ' + str(X['C']) + ' cytosine (C)')
### 3. Display DataFrame
st.subheader('3. Display DataFrame')
df = pd.DataFrame.from_dict(X, orient='index')
df = df.rename({0: 'count'}, axis='columns')
df.reset_index(inplace=True)
df = df.rename(columns = {'index':'nucleotide'})
st.write(df)
### 4. Display Bar Chart using Altair
st.subheader('4. Display Bar chart')
p = alt.Chart(df).mark_bar().encode(
x='nucleotide',
y='count'
)
p = p.properties(
width=alt.Step(80) # controls width of bar.
)
st.write(p)