Merge pull request #64 from SauravMishraaa/main

DNA Count App

SauravMishra/DNA Count App/DNA.py

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+from turtle import width
+import pandas as pd
+import streamlit as st
+import altair as alt #for graph
+from PIL import Image
+
+image=Image.open('dna.jpg')
+st.image(image,use_column_width=True) #displaying the image and allowing to expand till the column width
+
+st.write("""
+# DNA Nucleotide Count Web App
+
+This app counts the nucleotide composition of query DNA. :)
+***
+""")
+
+# Input Text Box
+
+#st.sidebar.header('Enter DNA sequence')
+
+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)